Browse Data and AI jobs in India, then compare roles, skills, and adjacent GenAI career paths.

ServiceNow

<h3>Company Description</h3>It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.Join us to put AI to work for people. <h3>Job Description</h3>What you'll do<ul><li>Own LLM mid-training and post-training research, including continued pretraining, SFT, preference optimization, and RL; make data-mixture and experimental decisions and determine how training changes affect downstream agent behavior.</li><li>Research and prototype novel agentic architectures and algorithms across planning, reasoning, memory, skills, tool use, retrieval, and multi-agent collaboration, advancing beyond existing approaches where appropriate.</li><li>Design and build research harnesses and experimentation methodologies that enable systematic experimentation, trajectory analysis, reproducibility, and rigorous comparison across models, checkpoints, and agent architectures.</li><li>Define evaluation methodologies and develop novel benchmarks for measuring agent reasoning, planning, tool use, reliability, factuality, and safety; establish rigorous approaches for LLM-as-a-Judge, trajectory-based, and human evaluation.</li><li>Identify systematic model and agent failure patterns, determine their root causes, and translate those insights into new research directions or improvements in training data, architecture, context, or evaluation.</li><li>Independently identify research problems, formulate novel hypotheses, and drive projects from research idea to validated prototype and measurable impact, collaborating with engineering to transition successful approaches into production and communicating results through publications, patents, or open-source work.</li></ul><h3>Qualifications</h3><ul><li>5+ years of experience in machine learning, deep learning, AI research, or a related field, with demonstrated applied research experience and a track record of independently driving research projects.</li><li>Hands-on experience with LLM training and post-training, including one or more of continued pretraining, SFT, preference optimization, or RL; experience making training-data decisions and understanding training dynamics and failure modes at scale.</li><li>Strong Python and advanced PyTorch expertise, with experience modifying models, training pipelines, or research infrastructure to support novel experimentation.</li><li>Strong practical depth in agentic AI and context engineering, including planning, reasoning, memory, skills, tool use, retrieval, long-context processing, and knowledge grounding.</li><li>Experience designing evaluation methodologies, not just running evaluations, including benchmark design, trajectory-based evaluation, LLM-as-a-Judge, human evaluation, and the ability to determine which metrics and methodologies are appropriate for a research question.</li><li>Demonstrated research ownership and impact, with the ability to identify important research questions, develop novel hypotheses, conduct rigorous experiments, and communicate findings and implications effectively to technical researchers, engineers, and executive stakeholders.</li></ul><h3>Additional Information</h3>Work PersonasWe approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. <a href="https://careers.servicenow.com/life-at-servicenow#workpersonas" rel="noopener noreferrer ugc" target="_blank">Learn more here</a>. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.Equal Opportunity EmployerServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  AccommodationsWe strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact <a href="mailto:globaltalentss@servicenow.com" rel="noopener noreferrer">globaltalentss@servicenow.com </a>for assistance. Export Control RegulationsFor positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Senior Research Engineer/Scientist

NielsenIQ

<h3>Job Description</h3>ONLY FOR DIVERSITY (FEMALE) CANDIDATES!!!!We are seeking a highly skilled Senior Data Engineer to architect, build, secure, and optimize end-to-end data pipelines and enterprise-grade data platforms. The ideal candidate brings deep expertise in Python, Snowflake, modern cloud ecosystems, data warehousing design, and DevSecOps-led automation.  
You will mentor junior engineers, drive technical decision-making, and lead solutions that improve data quality, performance, and reliability across the organization. Data Engineering &amp; Pipelines <ul><li>Design, develop, and optimize scalable ELT/ETL pipelines using Python and SQL. </li><li>Build real-time, near-real-time, and batch frameworks using cloud-native services. </li><li>Implement incremental loads, CDC, SCD, schema evolution, and orchestration best practices. </li></ul>Snowflake Engineering <ul><li>Architect and manage Snowflake environments: warehouses, databases, schemas, resource monitors, RBAC, zero-copy clones. </li><li>Implement Snowflake Tasks, Streams, Pipes (Snowpipe) for event-driven data workflows. </li><li>Optimize compute cost and query performance using clustering, micro-partitioning, caching, and warehouse sizing. </li></ul>Cloud Engineering (AWS | Azure | GCP) <ul><li>Build and maintain solutions using cloud-native compute/storage components:  </li><li>Azure: Blob Storage, ADLS, Functions, ADF, Purview </li></ul>Data Warehousing &amp; Modeling <ul><li>Design enterprise-grade Data Warehouses, Data Marts, and Semantic Layers. </li><li>Implement Kimball, Data Vault, and modern ELT-first design patterns. </li><li>Work closely with BI/ML teams to operationalize features and analytics models. </li></ul>DevSecOps &amp; Platform Engineering <ul><li>Implement CI/CD pipelines for data engineering code (GitHub Actions / Azure DevOps / GitLab CI). </li><li>Enforce DevSecOps practices:  </li><li>secret scanning </li><li>IaC security gates </li><li>dependency scanning </li><li>policy-as-code (OPA/Conftest) </li><li>Build infrastructure using Terraform / Azure Bicep / CloudFormation. </li></ul>Automated Testing &amp; Data Quality <ul><li>Implement data unit testing, schema validation, and contract enforcement:  </li><li>pytest </li><li>Great Expectations/dbt tests </li><li>automated data profiling </li><li>Build automated quality dashboards, lineage, and SLA monitoring. </li></ul>Leadership &amp; Collaboration <ul><li>Lead design reviews, code reviews, and data platform roadmap discussions. </li><li>Mentor junior engineers and enforce engineering excellence. </li><li>Partner with Product, Data Science, and Business teams to deliver data-driven solutions. </li></ul> <h3>Qualifications</h3><ul><li>7+ years of professional experience in Data Engineering. </li><li>Strong expertise in Python (pandas, asyncio, OOP, typing, packaging, pytest). </li><li>Hands-on experience with Snowflake at enterprise scale. </li><li>Advanced SQL skills—optimizing complex joins, window functions, CTEs, and performance tuning. </li><li>Strong cloud background: AWS, Azure, or GCP. </li><li>Deep understanding of data warehousing concepts:  </li><li>dimensional modeling </li><li>star schemas </li><li>data marts </li><li>CDC/SCD </li><li>modeling for high-volume pipelines </li><li>CI/CD experience with GitHub Actions/Azure DevOps/GitLab CI. </li><li>Experience with IaC tools like Terraform/Bicep. </li><li>Strong understanding of DevSecOps practices:  </li><li>secrets management </li><li>IAM design </li><li>vulnerability scanning </li><li>zero trust principles </li><li>Experience with orchestration tools (Airflow/ADF/Prefect/Step Functions). </li><li>Excellent communication and stakeholder management skills. </li></ul>Preferred / Good-to-Have Skills <ul><li>Experience with dbt (models, tests, exposures). </li><li>Streaming platform experience (Kafka, Kinesis, Pub/Sub). </li><li>Experience implementing OpenLineage, Marquez, or other lineage tools. </li><li>Familiarity with Lakehouse architectures (Delta Lake, Iceberg, Hudi). </li><li>Understanding of MLOps concepts and feature stores. </li><li>Knowledge of cost governance and FinOps best practices. </li><li>Prior leadership/mentorship experience. </li></ul><h3>Additional Information</h3><div></div>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/
About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/" rel="noopener noreferrer ugc" target="_blank">Instagram</a> | <a href="https://twitter.com/nielseniq" rel="noopener noreferrer ugc" target="_blank">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/" rel="noopener noreferrer ugc" target="_blank">Facebook</a>
Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0" rel="noopener noreferrer ugc" target="_blank">https://nielseniq.com/global/en/news-center/diversity-inclusion</a>

Senior Data Engineer (Python, SQL, Snowflake, Devops, Azure/ AWS, Co-pilot, Kubernetes, Docker)

<h3>Job Description</h3>Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking a highly skilled Data Scientist with strong development skills in programming languages such as Python. Additionally, expertise in statistics, mathematics, econometrics, and experience with panel data to revolutionize the way we measure consumer behavior both online and in-store. Looking ahead, we are excited to find someone who will join our team in developing a tool that can simulate the impact of production process changes on client data. This tool outside of the production factory will allow the wider Data Science team to drive innovation with unpresented efficiency. About the Role In this role, you will contribute to the development and refinement of our data processing pipeline while shaping new analytical methodologies. You’ll grow from owning specific steps of the pipeline to becoming an expert across data cleaning, preparation, and rule validation, working fluently with Python and large datasets. You will also design new methods, translate them into clear specifications, and collaborate with engineering teams to ensure accurate and scalable implementation. Close coordination with stakeholders helps you understand their needs, gather requirements, and secure alignment. This position is ideal for someone who enjoys handson coding, improving data processes, and driving methodological innovation within a collaborative, crossfunctional environment. Qualifications:- 5+ years experience- Educational Background: Master’s / Doctorate Degree in Data Science, Mathematics, Statistics or BE/BTech. Computer Engineering degree in Computer Science, Data Science or related fields involving statistical analysis of large data sets About You Ideally you possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You have successfully designed and developed software applying statistical and data analytical methods and demonstrated your ability to handle complex data sets. Experience with (un)managed crowdsourced panels and receipt capture methodologies is an advantage. - End-to-End Mindset: Experienced understanding processes also holistically. You enjoy connecting methodology, engineering, and business context to build solutions that work end‑to‑end—spanning data ingestion, modeling, tooling, deployment, and impact evaluation. - Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets and experience presenting the findings and recommendations.   - Programming Proficiency: Experienced programming in Python, an ideal candidate has already implemented Statistical methods like outlier validation. Experience programming efficiently to process large amounts of data, optimally using the PySpark package. Optionally, experience in SQL and working with queries. - Communication and Collaboration: Strong communication, writing, and collaboration skills. Experience or interest in supporting cross-functional stakeholders in production deployment - Continuous Learning: Eagerness to adopt and develop evolving technologies and tools. Nice to Have - Statistical Expertise: Strong statistical and logical skills, with experience in data cleaning, outlier validation, sampling, bias reduction, indirect estimation, and data aggregation techniques. - Software Engineering Skills: Knowledge in software engineering, including experience designing and developing software - Technology Skills: Familiarity with technology stacks for cloud computing (AzureAI, Databricks, Snowflake), experience with version control systems GitHub or Bitbucket Embark on this exciting journey to transform our panel measurement business and make a significant impact in the world of consumer analytics. Apply now to be a part of our innovative team!  <h3>Additional Information</h3><div></div>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/
About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/" rel="noopener noreferrer ugc" target="_blank">Instagram</a> | <a href="https://twitter.com/nielseniq" rel="noopener noreferrer ugc" target="_blank">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/" rel="noopener noreferrer ugc" target="_blank">Facebook</a>
Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0" rel="noopener noreferrer ugc" target="_blank">https://nielseniq.com/global/en/news-center/diversity-inclusion</a>

Lead Data Scientist

<h3>Job Description</h3>Purpose of the role – missionThe Data Scientist role is responsible for designing and leading universe studies, setting up the extrapolation for Retail Panels, discussing and designing rawdata modelling for non-coop retailers, and supporting root-cause analysis in case of client’s complaints when related to these activities.This role requires strong data fluency, analytical skills with the ability to assess data relevance, and a deep understanding of retail panels and their value.Key activities:1. Universe Studies:• Design and lead universe studies, acting as a “project manager” for these studies.• Document methodologies for transparency and provide clear explanations of selected methods.• Validate the universe estimation.• Conduct impact analysis of universe studies where relevant.2. Extrapolation:• Design and simulate extrapolation setups for new panels.• In case of major change in the sample of a channel, redesign its extrapolation matrix, conduct impact analysis where relevant.• Support StatOps team in case of minor events (how to select a donor shop for a copy shop or a create shop, how to slightly update the extrapolation in case of e.g. empty cell, discuss quality issues / risks in case of weak / weaker sample).• Assess the compliance of the existing design of extrapolation matrix and eventually recommend improvement (in the design, the sample size = recommend target for recruitment, etc.)• Specify sample checks per country_channel and ensure that they are properly executed by Operation teams.• Jointly with Operation, review the quality of the existing extrapolation and recommend / redesign if necessary (feedback loop from MDQC teams).• Update the Target Sample File every year and in case of significant change in the universe or the sample. 3. Modelling:• Assess the feasibility of non-coop retailer rawdata modelling outside of the system: business interest (in collaboration with Product), availability of data sources, usability of modelling components• Design the solution, test the development, review the quality once implemented, review every year the relevancy of the solution• Once implemented, handover to Operation for ongoing maintenance and execution.• Support Commercial teams and Client Operation to explain the methodology of a Rawdata modelling.4. Quality and Projects• Implement new country-channel setups, including reviewing channel definitions, designing universes and samples, and providing setup instructions.• Resolve Level 2 methodology clarification issues.• Support Major Data Change required by a redesign recommended by Data Science (major change in the universe, major redesign of an extrapolation, major redesign of a rawdata modelling): support the definition of the action plan, support the client communication.• Participate to Data Science regional and global projects<h3>Qualifications</h3>Strong analytical and problem-solving skills.• Proficiency in statistical modeling and data analysis.• Ability to document and explain complex methodologies clearly.• Familiarity with root cause analysis methods (such as 5_why method)• Excellent communication and organizational skills.• Ability to work independently and as part of a team.• Knowing production processes for PoS• Extensive experience of working in an international environment• Strong quality orientation and solution driven• Strong command of the English language This role is ideal for individuals with a keen eye for detail and a passion for data and data science. If you enjoy working in a dynamic environment and have the skills listed above, we encourage you to apply for the Data Scientist position.<h3>Additional Information</h3><div></div>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/
About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/" rel="noopener noreferrer ugc" target="_blank">Instagram</a> | <a href="https://twitter.com/nielseniq" rel="noopener noreferrer ugc" target="_blank">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/" rel="noopener noreferrer ugc" target="_blank">Facebook</a>
Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0" rel="noopener noreferrer ugc" target="_blank">https://nielseniq.com/global/en/news-center/diversity-inclusion</a>

Data Scientist

<h3>Job Description</h3>Job Purpose: The One Platform Senior Operations analyst StatOps plays a key execution role in the rollout, setup, and validation of markets and projection, used in the client output in our One Platform ecosystem, with a strong focus on Madras and its integration with upstream and downstream platforms for the set up and BAU maintenance (e.g., Sirval, GSRS, NRSP, Delivery Management, On Demand, and T&amp;D DWH).  This role is designed for an execution analyst who ensures that market and projection set up in Madras is executed properly and according to the country rollout schedule, validates the results vs. Legacy and to sign off and confirm results can be used in client output. And manages any additional BAU maintenance activities required in Madras for delivery to clients in Discover according to delivery commitments Job Responsibilities  Platform Setup &amp; Rollout Execution <ul><li>Support initial setup and configuration activities in Madras as part of One Platform onboarding of clients across countries. Using the available automation tools and load functionalities </li></ul><ul><li>Executes the checks on data correctness.  </li></ul><ul><li>Supports the RCA in case of issues identified during the checks </li></ul><ul><li>Executes corrections needed in Madras when needed as an outcome of the RCA on identified issues </li></ul>BAU Operations &amp; Monitoring <ul><li>Perform day‑to‑day operational monitoring of Madras processes as part of One Platform in BAU. </li></ul><ul><li>Identify, analyse, and support resolution of operational issues across platform flows. </li></ul><ul><li>Participate actively in regular platform governance and working sessions. </li></ul> Role Requirements  Required Skills &amp; Experience <ul><li>Technical &amp; Domain Knowledge </li></ul><ul><li>Working knowledge of Madras (configuration, monitoring, BAU flows). </li></ul><ul><li>Basic understanding of T&amp;D DWH and data flows. </li></ul><ul><li>Experience working with enterprise data platforms or operational systems. </li></ul><ul><li>Analytical skills </li></ul>Experience <ul><li>2–4 years’ experience in operations, execution roles within data‑driven or platform‑based environments. </li></ul><ul><li>Hands‑on experience supporting system rollout, BAU operations, or platform stabilization. </li></ul><ul><li>Exposure to multi‑country or global operating models is preferred. </li></ul>Ways of Working <ul><li>Strong execution mindset with attention to detail and operational discipline. </li></ul><ul><li>Ability to work effectively in cross‑functional and cross‑regional teams. </li></ul><ul><li>Comfortable operating in environments with delivery deadlines and the pressure of a high profile project. </li></ul><ul><li>Clear verbal and written communication skills in English. </li></ul>Profile Fit This role is suited to someone who: <ul><li>Enjoys hands‑on execution </li></ul><ul><li>Is comfortable working close to operational reality and BAU constraints. </li></ul><ul><li>Dedicated to deliver against commitments </li></ul>Career Path &amp; Growth This role offers exposure to: <ul><li>Global platform transformation initiatives. </li></ul><ul><li>Cross‑system and cross‑functional collaboration. </li></ul><ul><li>Future growth into senior execution, platform operations, or transformation roles. </li></ul><h3>Additional Information</h3><div></div>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/
About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/" rel="noopener noreferrer ugc" target="_blank">Instagram</a> | <a href="https://twitter.com/nielseniq" rel="noopener noreferrer ugc" target="_blank">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/" rel="noopener noreferrer ugc" target="_blank">Facebook</a>
Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0" rel="noopener noreferrer ugc" target="_blank">https://nielseniq.com/global/en/news-center/diversity-inclusion</a>

Senior Data Operations Analyst, NIQ One Platform

<h3>Job Description</h3>We are seeking a skilled Mid-Level Data &amp; Platform Engineer with strong expertise in Python, Snowflake, and SQL, along with foundational knowledge of DevOps, Microsoft Azure, and AI/ML concepts. The ideal candidate will be responsible for designing, developing, and maintaining data pipelines, supporting cloud-based data platforms, and contributing to automation and AI-driven initiatives. Key ResponsibilitiesData Engineering<ul><li>Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL.</li><li>Build and optimize data models, transformations, and workflows in Snowflake.</li><li>Develop data ingestion frameworks from various structured and unstructured data sources.</li><li>Monitor and troubleshoot data pipeline failures and performance bottlenecks.</li><li>Ensure data quality, reliability, and governance standards are maintained.</li></ul>Snowflake &amp; SQL<ul><li>Develop and optimize complex SQL queries, stored procedures, views, and tasks.</li><li>Implement Snowflake features such as Virtual Warehouses, Streams, Tasks, and Snowpipe.</li><li>Perform query performance tuning and cost optimization.</li><li>Support data warehouse administration and security best practices.</li></ul>Cloud &amp; Azure<ul><li>Work with Azure services such as:<ul><li>Azure Data Factory (ADF)</li><li>Azure Storage Accounts</li><li>Azure Key Vault</li><li>Azure Functions (basic)</li><li>Azure Synapse (basic exposure preferred)</li></ul></li><li>Support deployment and management of cloud-native data solutions.</li></ul>DevOps &amp; Automation<ul><li>Utilize Git-based source control and branching strategies.</li><li>Support CI/CD pipelines using Azure DevOps or GitHub Actions.</li><li>Create deployment automation scripts and infrastructure configurations.</li><li>Participate in release management and operational support activities.</li></ul>AI &amp; Emerging Technologies<ul><li>Understand foundational AI/ML concepts and use cases.</li><li>Work with AI-assisted development tools (GitHub Copilot, Azure AI services, etc.).</li><li>Support integration of AI-powered features into data platforms.</li><li>Participate in proof-of-concepts involving Generative AI and data analytics.</li></ul>Collaboration<ul><li>Collaborate with data engineers, architects, platform teams, and business stakeholders.</li><li>Participate in Agile ceremonies including sprint planning, reviews, and retrospectives.</li><li>Document technical designs, processes, and operational runbooks.</li></ul><h3>Qualifications</h3><ul><li>Bachelor's degree in computer science, Information Technology, Engineering, or related field.</li><li>3-5 years of experience in Data Engineering, Data Warehousing, or Platform Engineering.</li><li>Strong programming skills in Python.</li><li>Strong experience with SQL development and performance tuning.</li><li>Hands-on experience with Snowflake data warehouse.</li><li>Basic understanding of Azure Cloud services.</li><li>Basic knowledge of DevOps principles, CI/CD, and source control.</li><li>Understanding AI/ML fundamentals and Generative AI concepts.</li><li>Experience with Agile/Scrum methodologies.</li></ul>Technical SkillsMust Have<ul><li>Python</li><li>SQL</li><li>Snowflake</li><li>ETL/ELT Development</li><li>Data Modeling</li><li>Git</li><li>Azure Fundamentals</li><li>CI/CD Fundamentals</li></ul>Good to Have<ul><li>Azure Data Factory</li><li>Azure DevOps</li><li>Terraform</li><li>Docker (basic)</li><li>Power BI</li><li>Databricks</li><li>Airflow</li><li>REST APIs</li><li>Generative AI &amp; Azure OpenAI Services</li></ul><h3>Additional Information</h3><ul><li>Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.</li><li>Recharge and revitalize with help of wellness plans made for you and your family.</li><li>Plan your future with financial wellness tools.</li><li>Stay relevant and upskill yourself with career development opportunities.</li></ul><div></div>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/
About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/" rel="noopener noreferrer ugc" target="_blank">Instagram</a> | <a href="https://twitter.com/nielseniq" rel="noopener noreferrer ugc" target="_blank">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/" rel="noopener noreferrer ugc" target="_blank">Facebook</a>
Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0" rel="noopener noreferrer ugc" target="_blank">https://nielseniq.com/global/en/news-center/diversity-inclusion</a>

Software Engineer [Data Engineer - Python, SQL, Snowflake, Cloud, Devops (CI/CD pipeline) AI (Co-pilot usage and prompt engineering/ Gen AI), Docker, Kubernetes]

Airbnb

<div>Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</div>The Community You Will Join
The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales,social, compliance, risk, platforms and partnership &amp; economics.
The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, experimentation, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing.
The Difference You Will Make
ACOE is seeking a Lead, Advanced Analytics, Marketplace to help Airbnb enable travel for millions of guests and hosts on our platform. This individual will play a pivotal role in supporting strategic business and product initiatives through detailed data analysis, metrics creation, statistical modeling, and the development of reporting tools and metrics. The individual will be instrumental in driving business and product decisions across topic areas across the company. 
A Typical Day
<ul>
<li>Design and build metrics / dimensions to monitor product and business performance. </li>
<li>Build sophisticated reporting, analytical tools, and dashboards that empower stakeholders to make data-driven decisions.</li>
<li>Work cross-functionally with Strategic Finance, Data and Analytical Engineering,and Data Science teams to ensure alignment and leverage synergies.</li>
<li>Conduct advanced data analysis and statistical modeling to extract actionable insights that inform strategic decisions.</li>
<li>Contribute towards advancing the Analytics and Data Science disciplines at Airbnb, including driving data best practices such as improving and automating analytical processes, building new data tools and data sets, data education around the company and mentoring and developing others.</li>
<li>Actively build and scale AI-first analytics capabilities by integrating LLMs, agent-based workflows, and automation into day-to-day analytical processes</li>
<li>Drive adoption of AI tools across teams by embedding them into business workflows, enabling self-serve analytics and decision support</li>
<li>Stay at the forefront of applied AI developments and continuously evaluate their relevance for solving business problems</li>
</ul>
Your Expertise 
<ul>
<li>8+ years in industry experience and a degree (Masters or  PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).</li>
<li>Prior experience in data science, product analytics within a marketplace and pricing / monetization products. </li>
<li>Deep expertise in measurement frameworks, metric design, and metric creation.</li>
<li>Advanced level proficiency in SQL/NoSQL, programming languages such as Python, R, SAS and Intermediate level knowledge of data foundations and databases like Presto, Hive, Teradata, Spark.</li>
<li>Expert with BI tools like Tableau or superset to develop reports and dashboards.</li>
<li>Experience leveraging AI to build dashboards, automate repetitive tasks, and empower stakeholders.</li>
<li>Familiar with experimentation, causal inference, and LLMs</li>
<li>Robust business acumen, strategic thinking skills, and the ability to make informed judgments.</li>
<li>Outstanding communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner.</li>
<li>Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions.</li>
<li>An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.</li>
</ul>
 <div><div><div>How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits.  </div><div>India Annual Pay Range</div><div>₹3,080,000—₹4,400,000 INR</div></div></div>

Lead Advanced Analytics - Gurgaon

Brillio 2

<div>Senior Data Engineer</div>
<h2>Primary Skills</h2><ul><li>DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures</li></ul>
<h2>Specialization</h2><ul><li>Snowflake Engineering: Senior Data Engineer</li></ul>
<h2>Job requirements</h2><ul><li>Experience Range: With at least 5 to 8 years of experience designing, developing, and maintaining data integration and data warehouse solutions using IICS and Snowflake Key Responsibilities: 1. Design, develop, and maintain ETL/ELT pipelines using Informatica Intelligent Cloud Services (IICS) to support scalable data integration processes 2. Implement and optimize data integration workflows with IICS Cloud Data Integration (CDI), ensuring robust error handling, scheduling, and parameterization 3. Develop complex mappings, mapping tasks, taskflows, and reusable components for efficient data movement and transformation 4. Build and maintain Snowflake data warehouse solutions, including databases, schemas, tables, views, and stages to support business analytics 5. Write and optimize advanced SQL queries and Snowflake stored procedures to enable high-performance data processing and reporting 6. Implement data loading strategies from diverse source systems into Snowflake, including incremental loads, Change Data Capture (CDC), and Slowly Changing Dimensions (SCD) Type 1/Type 2 7. Perform data transformation, cleansing, validation, and reconciliation to ensure data quality and integrity 8. Troubleshoot ETL failures, data issues, and performance bottlenecks to ensure reliable data operations 9. Collaborate with business analysts, data architects, QA, and other technical teams to deliver end-to-end data solutions and support production deployments Required Skills: 1. Hands-on experience with Informatica Intelligent Cloud Services (IICS) and Cloud Data Integration (CDI) 2. Expertise in Snowflake data warehouse architecture and features including warehouses, stages, streams, tasks, time travel, and zero-copy cloning 3. Advanced SQL development and query optimization 4. Proficiency in ETL/ELT development and data warehousing concepts 5. Experience developing mappings, mapping tasks, and taskflows in IICS 6. Implementation of parameterization and error handling in ETL pipelines 7. Scheduling and automation of data integration workflows 8. Design and management of incremental and full data loads including SCD and CDC patterns Preferred Skills: 1. Experience with AWS or Azure cloud services for data integration and storage 2. Knowledge of AWS S3 or Azure Blob Storage for data ingestion 3. Familiarity with CI/CD and DevOps practices for ETL pipeline deployment 4. Proficiency in Python or scripting languages for automation 5. Experience with version control and automation tools such as Git, Jenkins, or Azure DevOps 6. Domain experience in Life Sciences or Pharmaceutical industry Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline 2. Certification in Snowflake or Informatica Cloud Data Integration (preferred) 3. Certification in AWS or Azure cloud platforms (preferred)</li></ul>

Senior Data Engineer - R01569889

<h3>Job Description</h3>Role OverviewThe DA Insights Reporting Lead is responsible for designing, developing, and maintaining scalable, high-performance reporting solutions. This role bridges business and technical teams, transforming complex data into actionable insights through advanced analytics and data modeling.Key Responsibilities<ul><li>Lead the design and development of enterprise-level Power BI reports and dashboards.</li><li>Develop and maintain complex DAX measures and scalable data models.</li><li>Translate business requirements into efficient and robust analytical solutions.</li><li>Optimize data models and reports for performance and scalability.</li><li>Implement advanced analytical frameworks such as segmentation, quartile analysis, and KPI monitoring.</li><li>Collaborate with stakeholders to gather requirements and deliver insights.</li><li>Drive best practices in reporting standards, governance, and data visualization.</li><li>Troubleshoot and resolve reporting and performance issues.</li></ul>Required Skills &amp; Qualifications<ul><li>Advanced expertise in Power BI, including report development and data modeling.</li><li>Proficiency in DAX to deal with complex calculation patterns.</li><li>Solid understanding of data modeling principles (relationships, performance tuning).</li><li>Strong analytical and problem-solving skills.</li><li>Ability to translate business needs into technical solutions.</li><li>Experience with SQL and data integration from multiple sources.</li><li>Fluent in English</li></ul><h3>Qualifications</h3><ul><li>Knowledge of Microsoft Fabric, Azure Data Lake, or cloud-based analytics platforms.</li><li>Min 5+ year's experience preferred </li><li>Knowledge of database technologies (PostgreSQL or similar database systems).</li><li>Ability to work with large datasets and optimize performance.</li><li>Strong attention to detail and commitment to data quality.</li><li>Excellent communication and stakeholder management skills.</li><li>Ability to manage multiple priorities and deadlines.</li><li>Continuous learning and adaptability to new technologies.</li></ul><h3>Additional Information</h3><div></div>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/
About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/" rel="noopener noreferrer ugc" target="_blank">Instagram</a> | <a href="https://twitter.com/nielseniq" rel="noopener noreferrer ugc" target="_blank">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/" rel="noopener noreferrer ugc" target="_blank">Facebook</a>
Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0" rel="noopener noreferrer ugc" target="_blank">https://nielseniq.com/global/en/news-center/diversity-inclusion</a>

GDA Insights Associate

<div>Data Specialist</div>
<h2>Primary Skills</h2><div>
<div>
<h2>Databricks Engineer</h2>
<h2>Role Overview</h2>
We are seeking a highly skilled Databricks Engineer to design, develop, and optimize scalable data engineering and analytics solutions on the Databricks Lakehouse Platform. The ideal candidate will possess strong expertise in Databricks, PySpark, and SQL, with hands-on experience building batch and real-time data pipelines, implementing Lakehouse architectures, and ensuring data governance and performance optimization.
<h2>Key Responsibilities</h2>

<li>Design, develop, and maintain end-to-end data pipelines using Databricks and PySpark.</li>
<li>Build and implement Lakehouse architectures utilizing Bronze, Silver, and Gold data layers.</li>
<li>Develop and manage Delta Lake solutions with ACID transactions, schema enforcement, and data reliability features.</li>
<li>Create, monitor, and optimize Delta Live Tables (DLT) pipelines.</li>
<li>Implement scalable and efficient data ingestion processes using Auto Loader.</li>
<li>Develop and manage real-time data processing solutions using Structured Streaming.</li>
<li>Orchestrate, schedule, and monitor data workflows using Databricks Workflows.</li>
<li>Design and implement Lakehouse data models to support reporting, analytics, and business intelligence requirements.</li>
<li>Establish and enforce data governance, security, and access controls using Unity Catalog.</li>
<li>Optimize Spark jobs, SQL queries, and overall platform performance to ensure efficiency and scalability.</li>
<li>Collaborate with cross-functional teams, including data analysts, architects, and business stakeholders, to deliver high-quality data solutions.</li>

<h2>Required Skills (Must Have)</h2>

<li>Databricks Platform

</li><li>Delta Lake</li>
<li>Delta Live Tables (DLT)</li>
<li>Unity Catalog</li>
<li>Databricks Workflows</li>


<li>PySpark and Apache Spark</li>
<li>Structured Streaming</li>
<li>Auto Loader</li>
<li>SQL</li>
<li>Lakehouse Data Modeling</li>
<li>Strong understanding of data engineering best practices and scalable data architectures</li>

<h2>Preferred Skills (Good to Have)</h2>
<h3>Azure Ecosystem</h3>

<li>Azure Data Factory (ADF)</li>
<li>Azure Synapse Analytics</li>
<li>Microsoft Purview</li>
<li>Microsoft Fabric</li>

<h3>AWS Ecosystem</h3>

<li>AWS Glue</li>
<li>AWS Lambda</li>
<li>AWS Step Functions</li>

<h3>Data Engineering &amp; Integration</h3>

<li>Apache Airflow</li>
<li>DBT</li>
<li>Fivetran</li>
<li>Informatica</li>

<h3>Streaming &amp; Analytics</h3>

<li>Apache Kafka</li>
<li>Power BI</li>

<h3>Data Governance</h3>

<li>Collibra</li>
<li>Alation</li>

<h3>GCP</h3>

<li>BigQuery</li>

<h2>Qualifications</h2>

<li>Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related discipline.</li>
<li>Proven experience in designing and implementing cloud-based data engineering solutions and scalable data pipelines.</li>
<li>Strong analytical, troubleshooting, and problem-solving capabilities.</li>
<li>Experience working in agile and collaborative environments.</li>
<li>Excellent communication and stakeholder management skills.</li>

<h2>Preferred Candidate Profile</h2>

<li>Hands-on experience with modern Lakehouse architectures and enterprise-scale data platforms.</li>
<li>Strong understanding of data governance, security, and compliance frameworks.</li>
<li>Experience delivering both batch and real-time data processing solutions.</li>
<li>Ability to work independently while collaborating effectively across global teams.</li>

<h3>Key Technologies</h3>
Databricks | PySpark | Apache Spark | Delta Lake | Delta Live Tables (DLT) | Unity Catalog | Structured Streaming | Auto Loader | SQL | Lakehouse Architecture | Azure | AWS | Airflow | Kafka | Power BI
</div>
</div>
<h2>Specialization</h2><ul><li>Databricks Engineering: Lead Data Engineer</li></ul>
<h2>Job requirements</h2><div>
<div>
<h2>Databricks Engineer</h2>
<h2>Role Overview</h2>
We are seeking a highly skilled Databricks Engineer to design, develop, and optimize scalable data engineering and analytics solutions on the Databricks Lakehouse Platform. The ideal candidate will possess strong expertise in Databricks, PySpark, and SQL, with hands-on experience building batch and real-time data pipelines, implementing Lakehouse architectures, and ensuring data governance and performance optimization.
<h2>Key Responsibilities</h2>

<li>Design, develop, and maintain end-to-end data pipelines using Databricks and PySpark.</li>
<li>Build and implement Lakehouse architectures utilizing Bronze, Silver, and Gold data layers.</li>
<li>Develop and manage Delta Lake solutions with ACID transactions, schema enforcement, and data reliability features.</li>
<li>Create, monitor, and optimize Delta Live Tables (DLT) pipelines.</li>
<li>Implement scalable and efficient data ingestion processes using Auto Loader.</li>
<li>Develop and manage real-time data processing solutions using Structured Streaming.</li>
<li>Orchestrate, schedule, and monitor data workflows using Databricks Workflows.</li>
<li>Design and implement Lakehouse data models to support reporting, analytics, and business intelligence requirements.</li>
<li>Establish and enforce data governance, security, and access controls using Unity Catalog.</li>
<li>Optimize Spark jobs, SQL queries, and overall platform performance to ensure efficiency and scalability.</li>
<li>Collaborate with cross-functional teams, including data analysts, architects, and business stakeholders, to deliver high-quality data solutions.</li>

<h2>Required Skills (Must Have)</h2>

<li>Databricks Platform

</li><li>Delta Lake</li>
<li>Delta Live Tables (DLT)</li>
<li>Unity Catalog</li>
<li>Databricks Workflows</li>


<li>PySpark and Apache Spark</li>
<li>Structured Streaming</li>
<li>Auto Loader</li>
<li>SQL</li>
<li>Lakehouse Data Modeling</li>
<li>Strong understanding of data engineering best practices and scalable data architectures</li>

<h2>Preferred Skills (Good to Have)</h2>
<h3>Azure Ecosystem</h3>

<li>Azure Data Factory (ADF)</li>
<li>Azure Synapse Analytics</li>
<li>Microsoft Purview</li>
<li>Microsoft Fabric</li>

<h3>AWS Ecosystem</h3>

<li>AWS Glue</li>
<li>AWS Lambda</li>
<li>AWS Step Functions</li>

<h3>Data Engineering &amp; Integration</h3>

<li>Apache Airflow</li>
<li>DBT</li>
<li>Fivetran</li>
<li>Informatica</li>

<h3>Streaming &amp; Analytics</h3>

<li>Apache Kafka</li>
<li>Power BI</li>

<h3>Data Governance</h3>

<li>Collibra</li>
<li>Alation</li>

<h3>GCP</h3>

<li>BigQuery</li>

<h2>Qualifications</h2>

<li>Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related discipline.</li>
<li>Proven experience in designing and implementing cloud-based data engineering solutions and scalable data pipelines.</li>
<li>Strong analytical, troubleshooting, and problem-solving capabilities.</li>
<li>Experience working in agile and collaborative environments.</li>
<li>Excellent communication and stakeholder management skills.</li>

<h2>Preferred Candidate Profile</h2>

<li>Hands-on experience with modern Lakehouse architectures and enterprise-scale data platforms.</li>
<li>Strong understanding of data governance, security, and compliance frameworks.</li>
<li>Experience delivering both batch and real-time data processing solutions.</li>
<li>Ability to work independently while collaborating effectively across global teams.</li>

<h3>Key Technologies</h3>
Databricks | PySpark | Apache Spark | Delta Lake | Delta Live Tables (DLT) | Unity Catalog | Structured Streaming | Auto Loader | SQL | Lakehouse Architecture | Azure | AWS | Airflow | Kafka | Power BI
</div>
</div>

Databricks Data Specialist - R01569707

<h3>Job Description</h3>NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view of consumers and markets worldwide. We provide accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit <a href="http://www.niq.com/" rel="noopener noreferrer ugc" target="_blank">www.niq.com</a>. NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. RESPONSIBILITIES <ul><li>Responsible for Group Consolidation activities including process architecture, protocols and mechanics and related governance. </li></ul><ul><li>Deliver all periodic services related to Group Consolidation including month-end activities, account reconciliations, periodic reporting, metrics, governance, and internal control. </li></ul><ul><li>Manage quality metrices through service level agreements, performance metrics and continuous governance rhythm. </li></ul><ul><li>Act as a point of Contact for the stakeholders. </li></ul><ul><li>Work closely with other finance business partners to maintain best-in-class processes to bring the efficiency and consistency in the processes. </li></ul><ul><li>Analyze financial data, trends, and patterns to identify potential risks or opportunities for improvement. </li></ul><ul><li>Support the implementation of new accounting pronouncements including IFRS / US GAAP / Sox Compliance / Other regulatory changes, as required. </li></ul><ul><li>Review the process documentation to ensure standard operating procedures are up to date using the most recent Nielsen toolset. </li></ul><ul><li>Maintain an appropriate system configuration and IT environment to ensure effective and efficient execution of month end close processes. </li></ul><ul><li>Training and upskilling the team members with adequate competency mapping. </li></ul><ul><li>Performance management of Team members. </li></ul><ul><li>Providing support to the countries/regional leads for the quality submission of the Reporting pack, </li></ul><ul><li>Ensure all the intercompany transactions are eliminated, </li></ul><ul><li>Collecting / Creating the back-up for the all the topside Journals posted, </li></ul><ul><li>Perform various checks from group reporting perspective. </li></ul><ul><li>Perform variance analysis for the given accounts and collect the commentaries from Country / R2R teams. </li></ul><ul><li>Equity, dividend and Goodwill reconciliation from group perspective. </li></ul><ul><li>Support external and internal audits with supporting documentation, archive retrieval, journal walk throughs, and other audit requirements under the supervision of the Operational Controller, </li></ul><ul><li>Flexible to work in US shift during Month End. </li></ul>A LITTLE BIT ABOUT YOU A successful analyst will achieve seamless execution of Consolidation activities. S/he will have met or exceeded expectations on all Consolidation metrics and ensured Process accuracy. <h3>Qualifications</h3> <ul><li>Qualified Accountant (CA/ CPA/ ACCA) or B/Com/M.Com/MBA </li></ul><ul><li>Qualified CA 2 +/ CA Inter/B.Com/MBA 4+ Years relevant professional experience with team management in a medium to large international company.  </li></ul><ul><li>Excellent interpersonal, verbal and written communication skills and the ability to interact professionally and manage the stakeholders. </li></ul><ul><li>Excellent knowledge of the statutory requirements and US GAAP / IFRS. </li></ul><ul><li>Working knowledge of any ERP systems (preferably SAP or Oracle). </li></ul><ul><li>Experience in managing a project. </li></ul><h3>Additional Information</h3><div></div>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/
About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/" rel="noopener noreferrer ugc" target="_blank">Instagram</a> | <a href="https://twitter.com/nielseniq" rel="noopener noreferrer ugc" target="_blank">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/" rel="noopener noreferrer ugc" target="_blank">Facebook</a>
Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0" rel="noopener noreferrer ugc" target="_blank">https://nielseniq.com/global/en/news-center/diversity-inclusion</a>

Consolidation Analyst

<div>Lead Data Engineer</div>
<h2>Primary Skills</h2><ul><li>AKS, Event Hub, Azure DevOps, Azure sentinel, Cosmos DB, Azure Functions</li></ul>
<h2>Specialization</h2><ul><li>Azure Data Engineering Advanced: Senior Lead Data Engineer</li></ul>
<h2>Job requirements</h2><ul><li>Experience Range: with at least 4 to 6 years of hands-on experience in data engineering, including substantial expertise in Azure analytics and pipeline development Key Responsibilities: 1. Design and implement scalable ETL processes using Azure Data Factory, Synapse Analytics, and Spark, delivering robust real-time and batch data feeds 2. Develop and optimize data pipelines and models for large-scale lakehouse and warehouse analytics systems, achieving high performance and reliability targets 3. Integrate and manage data sources from Azure Data Explorer, Kusto, and Delta Lake formats to enable advanced analytics and reporting capabilities 4. Configure and maintain cloud-hosted data architectures, leveraging Azure services to ensure secure, efficient, and resilient data operations 5. Collaborate with cross-functional teams to capture data requirements and drive test-driven, data-driven development methodologies 6. Monitor, troubleshoot, and enhance SQL performance, ensuring efficient query execution and maintaining data quality across all systems 7. Develop and maintain Power BI reports, focusing on data modeling and DAX to deliver actionable insights to stakeholders 8. Document technical business processes and data architecture, supporting organizational knowledge sharing and compliance Required Skills: 1. Azure Synapse Analytics 2. Azure Data Factory 3. Azure Data Explorer (Kusto) 4. Pyspark 5. Delta Lake 6. SQL performance tuning 7. Power BI (Data Modeling and DAX) 8. Azure Data Lake Preferred Skills: 1. Azure DevOps for CI/CD 2. AKS (Azure Kubernetes Service) 3. Event Hub 4. Azure Sentinel 5. Experience with large-scale streaming analytics Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline 2. Microsoft Certified: Azure Data Engineer Associate 3. Microsoft Certified: Azure Solutions Architect Expert Additional Information: Location: Bangalore</li></ul>

Lead Data Engineer - R01569363

<div>Lead Data Engineer</div>
<h2>Primary Skills</h2><ul><li>ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures</li></ul>
<h2>Specialization</h2><ul><li>ETL Specialization: Data Engineer</li></ul>
<h2>Job requirements</h2><ul><li>Experience Range: 4 to 6 years of experience, including hands-on expertise in ETL and Informatica MDM solutions Key Responsibilities: 1. Design and implement robust ETL pipelines using Informatica MDM to ensure accurate data integration and management across enterprise systems 2. Develop, optimize, and maintain complex SQL, PLSQL, and T-SQL stored procedures for efficient data processing and transformation 3. Lead data modeling initiatives, translating business requirements into scalable data warehouse solutions and modern data platform architectures 4. Collaborate with cross-functional teams to gather requirements, validate data quality, and deliver actionable insights through advanced data engineering practices 5. Troubleshoot and resolve data-related issues, ensuring high availability, reliability, and performance of ETL workflows 6. Automate data ingestion and transformation tasks using Python, enhancing operational efficiency and reducing manual intervention 7. Monitor and improve ETL performance, proactively identifying bottlenecks and implementing enhancements to achieve optimal throughput 8. Ensure adherence to data governance policies and best practices, maintaining data integrity and security throughout the lifecycle Required Skills: 1. Informatica MDM 2. ETL pipeline development with Informatica 3. Advanced SQL programming 4. Python for data engineering 5. Enterprise data warehousing 6. Data modeling for large-scale systems 7. PLSQL 8. T-SQL 9. Stored procedures development Preferred Skills: 1. Experience with cloud-based ETL tools such as Azure Data Factory or AWS Glue 2. Expertise in master data management platforms beyond Informatica 3. Knowledge of big data technologies such as Spark or Hadoop 4. Familiarity with data governance frameworks 5. Proficiency in performance tuning and optimization of ETL processes Desired Qualifications: 1. Bachelor’s degree in Computer Science, Information Technology, or a related field 2. Relevant certifications in Informatica MDM or ETL technologies Additional Information: Informatica MDM skills are required as a core competency for this role.</li></ul>

Lead Data Engineer - R01568425

<div>Senior Data Scientist</div>
<h2>Primary Skills</h2><ul><li>Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio</li></ul>
<h2>Specialization</h2><ul><li>Data Science Advanced: Data Specialist</li></ul>
<h2>Job requirements</h2><ul><li>Technical Skills: Software Engineering (Backend Development using Python) Data Science and Analytics SQL and Data Analysis AI/ML experience, preferably with Agentic AI frameworks and implementations Experience integrating AI solutions into enterprise applications Preferred Profile: Strong problem-solving and analytical skills Experience working on end-to-end AI product development Exposure to Generative AI and AI Agent architectures would be highly beneficial</li></ul>

Senior Data Science Lead - R01567407

Coinbase

<div>Ready to do the most impactful work of your career? At <a href="https://www.coinbase.com/?utm_campaign=mt_o_m_w_m_m__coi_0_jd-onchain&amp;utm_source=coinbase" rel="noopener noreferrer ugc" target="_blank">Coinbase</a>, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” <a href="https://www.coinbase.com/careers" rel="noopener noreferrer ugc" target="_blank">learn more about working at Coinbase</a>.</div>The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform that powers Coinbase chat, Help Center, and agent tooling, partnering closely with Conversation Design, CX, and engineering teams to deliver secure, compliant, and scalable AI-powered support. Our work helps customers get answers faster while enabling agents to resolve cases more effectively.
We are hiring an IC4 Machine Learning Engineer to help evolve our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will contribute to the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is ideal for someone who enjoys solving complex ML systems problems, building reliable handoff logic across LLM frameworks, and shipping AI-enabled products that are measurable and scalable.
<h4>What you'll do:</h4>
<ul>
<li>
Build and improve the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment.
</li>
<li>
Develop production-grade Python services that bridge advanced AI and ML capabilities with reliable customer-facing products.
</li>
<li>
Drive well-scoped ML projects from design through delivery, balancing technical trade-offs and collaborating across teams.
</li>
<li>
Contribute to system design, coding standards, and AI/ML development best practices across the team.
</li>
<li>
Partner with engineers and cross-functional stakeholders to build secure, scalable, and high-performing AI-enabled experiences.
</li>
<li>
Participate in design reviews and help ensure features meet Coinbase standards for security, compliance, and performance.
</li>
</ul>
<h4> </h4>
<h4>Required Skills and Experience:</h4>
<ul>
<li>
2+ years of professional experience in machine learning and software engineering, with experience shipping production-grade ML services.
</li>
<li>
Hands-on experience building with modern AI architectures such as LLMs and deep learning, and familiarity with tools such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
</li>
<li>
Strong proficiency in Python and the ability to write clean, maintainable, well-tested production code.
</li>
<li>
Working knowledge in at least one domain such as NLP, information retrieval, computer vision, or statistical modeling.
</li>
<li>
Ability to write technical design documents and communicate ML system designs clearly to cross-functional stakeholders.
</li>
<li>
Uses generative AI responsibly, applying human oversight to deliver business-ready outputs and measurable improvements in efficiency, cost, and quality.
</li>
</ul>
<div></div><div><div><div>Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
<div></div></div><div>Annual base salary range (excluding equity and bonus):</div><div>₹4,408,400—₹4,408,400 INR</div></div></div><div><ul>
<li>Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.</li>
<li>Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.</li>
<li>US Applicants: View<a href="https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf" rel="noopener noreferrer ugc" target="_blank"> Employee Rights</a>,<a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf" rel="noopener noreferrer ugc" target="_blank"> Know Your Rights</a>, and<a href="https://static-assets.coinbase.com/e-verify.pdf" rel="noopener noreferrer ugc" target="_blank"> E-Verify</a> Notice of Participation.</li>
<li>Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology?<a href="https://chromewebstore.google.com/detail/screen-reader/kgejglhpjiefppelpmljglcjbhoiplfn" rel="noopener noreferrer ugc" target="_blank"> Click here</a> to download a free compatible screen reader and view the<a href="http://www.chromevox.com/tutorial/" rel="noopener noreferrer ugc" target="_blank"> tutorial</a>.</li>
<li>Data Privacy &amp; Arbitration: By submitting your application, you agree to our<a href="https://www.coinbase.com/legal/applicant_privacy_notice" rel="noopener noreferrer ugc" target="_blank"> Candidate Privacy Notice</a>. US applicants: By submitting your application, you agree to<a href="https://www.coinbase.com/legal/application-arbitration-agreement" rel="noopener noreferrer ugc" target="_blank"> Arbitration of Disputes</a>. </li>
</ul>
<div></div></div>

Machine Learning Engineer

Roblox

<div>Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. 
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. 
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</div>The Trust &amp; Safety Operations team safeguards Roblox’s community and creators. Within this organization, our IP and Legal Compliance Operations teams are dedicated to protecting Intellectual Property, ensuring strict regulatory compliance, and facilitating a safe, fair environment for rights holders, developers, and users. We scale Operations and elevate our users’ experience through a multi‑year vision, rigorous execution, and data‑driven decision making.
You will be reporting to the Manager Data Operations and act as the data SME for both IP and Compliance Operations, working closely with other domain-specific data analysts on the team. This position is critical to understanding, optimizing, and reporting on the operational performance of our Intellectual Property enforcement and our Legal Compliance workflows.
You Will:
<ul>
<li>Own the analysis and reporting for both Intellectual Property Operations and broader Legal Compliance Workflows. Deliver recurring KPI packs for senior leadership across Safety, Legal, and Developer Relations partners.</li>
<li>Identify opportunities through trend and cohort analysis; build business cases and lead cross‑functional initiatives from concept to impact.</li>
<li>Collaborate with Data Science, IP Product, Policy, and Operations teams to define and maintain metric definitions, KPI hierarchies, and analytical guardrails that drive operational excellence in both IP protection and compliance obligations.</li>
<li>Design, build, and maintain advanced operational reports and dashboards, delivering critical insights on IP enforcement and overall compliance health to senior-level management and cross-functional stakeholders across Operations, Legal, Product, and Engineering.</li>
<li>Select and apply the most appropriate analytical methods to assess both IP operations and Legal Compliance programs, extract relevant data, and derive actionable insights to ensure we meet all of Roblox's legal and regulatory obligations efficiently and accurately.</li>
<li>Monitor industry trends in digital rights management, regulatory compliance frameworks, and analytical best practices; incorporate them into our operational data strategies and tooling.</li>
</ul>
You Have:
<ul>
<li>7+ years of experience in a professional setting, with demonstrated experience in quantitative analysis and complex program management.</li>
<li>Domain Knowledge: Good understanding of intellectual property operations (like copyrights, trademarks, and Digital Rights Management) and legal compliance processes (such as regulatory response SLAs, privacy operations, or law enforcement guidelines) in the tech industry—either through hands-on experience or by working closely on cross-functional projects.</li>
<li>Technical Proficiency: Advanced proficiency in SQL, including complex queries, common table expressions, and window functions; working knowledge of Git and Python and/or R is highly desirable.</li>
<li>Cross-Functional Leadership: Proven ability to work effectively with cross-functional teams (specifically Legal, Product, Engineering, and frontline IP/Compliance Operations) to drive strategic initiatives.</li>
<li>Problem Solving: Strong analytical skills with a track record of using data to inform decision-making, optimize complex workflows, and solve operational bottlenecks.</li>
<li>Business Acumen: Deep understanding of business operations and the ability to align data strategies with strict legal, regulatory, and IP business objectives.</li>
<li>Expertise in consulting with stakeholders and managing complex projects from inception to completion.</li>
<li>Strong multitasking and time management skills to balance the distinct needs of IP operations and Compliance operations.</li>
<li>Minimum of a Bachelor’s degree in a technical field / analytical discipline (preferred: Computer Science, Data Analytics, Information Systems, Statistics, Mathematics, Business Analytics or equivalent), with a strong preference for an MBA or MS or equivalent experience</li>
</ul><div>Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.</div>

Data Analyst, Operations (IP & Legal Compliance)

Twilio

<div>Who we are 
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to<a href="https://customers.twilio.com/" target="_blank" rel="noopener noreferrer ugc"> hundreds of thousands of businesses </a>and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to <a href="https://www.twilio.com/en-us/blog/open-work" target="_blank" rel="noopener noreferrer ugc">remote-first work</a>, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. .
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! 
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.  .</div>See yourself at Twilio
Join the team as Twilio's next Senior or Staff Applied Software Research Engineer for Emerging Technologies. We are hiring for multiple positions at either a Senior or Staff level.
About the job
This full stack engineer position is needed to contribute hands-on technical expertise, collaborate on rapid prototyping, and develop innovative solutions as part of Twilio’s incubation team. 
As a Senior Applied Software Research Engineer, you’ll build hands-on skills with new technologies, collaborate with passionate engineers, and contribute to delivering solutions that help shape Twilio’s future offerings. This is a growth role, ideal for someone eager to learn and make a measurable difference in a fast-paced, entrepreneurial environment.
As a Staff Applied Software Research Engineer, you’ll work closely with cross-functional partners to design and build new product ideas, leveraging modern technologies and your problem-solving abilities. This is a high-impact opportunity for growth and learning, helping Twilio experiment and stay ahead in the evolving tech landscape.
Responsibilities
In this role, At the Senior level, you’ll:
<ul>
<li>Develop, test, and deploy code for prototypes and new product features.</li>
<li>Collaborate with team members to solve technical challenges and improve solution design.</li>
<li>Participate in code reviews, documentation, and team knowledge sharing.</li>
<li>Experiment with modern tools, frameworks, and emerging technologies.</li>
<li>Adapt to evolving requirements and provide input on process improvements.</li>
</ul>
In this role, At the Staff level, you’ll:
<ul>
<li>Design, develop, and implement prototypes and production-ready solutions.</li>
<li>Collaborate with team members to experiment with AI, machine learning, and emerging technologies.</li>
<li>Participate in code reviews and contribute to continuous improvement of engineering best practices.</li>
<li>Communicate progress and technical concepts to stakeholders and peers.</li>
<li>Adapt quickly to feedback and changing requirements in a fast-paced environment.</li>
</ul>
Qualifications 
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
At the Senior level:
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.</li>
<li>3+ years of professional software development experience, ideally full stack development.</li>
<li>Proficiency in at least one programming language (such as JavaScript, Python, or Java).</li>
<li>Experience working with front-end (React, Angular) and/or back-end (Node.js, Springboot) technologies.</li>
<li>Understanding of database fundamentals (SQL or NoSQL).</li>
<li>Eagerness to learn, collaborate, and solve problems.</li>
<li>Effective written and verbal communication skills.</li>
<li>Have an agentic coding operating model that is effective at leveraging skills/ MCP/ LLMs to be able to do ai-assisted coding</li>
<li>Ability to deal with ambiguity and solve the problems vs. need constant support to unblock execution</li>
</ul>
At the Staff level:
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.</li>
<li>5+ years of professional full stack software development experience.</li>
<li>Proficiency across modern programming languages such as JavaScript, Python, or Java.</li>
<li>Experience building applications using front-end (React, Angular) and/or back-end (Node.js, Springboot) frameworks.</li>
<li>Solid understanding of database technologies (SQL or NoSQL).</li>
<li>Strong problem-solving skills and a collaborative mindset.</li>
<li>Effective communication skills for technical discussions.</li>
<li>Next-Gen Workflow: Mastery of an agentic coding operating model; highly effective at leveraging advanced dev tools, Model Context Protocol (MCP), and LLMs to drastically accelerate AI-assisted development.</li>
<li>Ability to deal with ambiguity and solve the problems vs. need constant support to unblock execution</li>
</ul>
Desired:
At the Senior &amp; Staff level:
<ul>
<li>
<ul>
<li>Exposure to AI or machine learning principles or projects.</li>
<li>Knowledge of cloud-based platforms (AWS, Azure) and distributed systems.</li>
<li>Ability to ramp up on new technologies, solution against well defined problems and to be iterative about building.</li>
<li>Passion for innovation and exploring emerging technologies.</li>
<li>Experience working in remote or globally distributed teams.</li>
<li>Contributions to open source or tech community projects.</li>
</ul>
</li>
</ul>
Location
 This role will be remote, and based in India (only in Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi).
Travel 
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.<div>Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call <a href="https://www.twilio.com/company/values" rel="noopener noreferrer ugc" target="_blank">Twilio Magic</a>. Additionally, we empower employees to build <a href="https://twilio.org/support-and-resources/impact-fund" rel="noopener noreferrer ugc" target="_blank">positive change in their communities</a> by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, <a href="https://www.twilio.com/company/jobs#open-positions" rel="noopener noreferrer ugc" target="_blank">please consider other open positions.</a>
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @<a href="http://twilio.com" rel="noopener noreferrer ugc" target="_blank">twilio.com</a> email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . 
Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.</div>

Senior/Staff Applied Research Software Engineer

Databricks

P-1408
The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. 
As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.
 
Key Responsibilities
<ul>
<li>Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. </li>
<li>Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. </li>
<li>Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. </li>
<li>Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.</li>
</ul>
 
What We’re Looking For
<ul>
<li>BS+ (M.S. or PhD preferred) in Computer Science, or a related field.</li>
<li>10+ years experience developing search relevance systems at scale in production or in high-impact research environments.</li>
<li>Experience applying LLM to search relevance</li>
<li>Experience in one or more of the following:  </li>
<ul>
<li>Query understanding</li>
<li>NLP</li>
<li>Text mining</li>
<li>Recommendations</li>
<li>Personalization</li>
<li>Discovery</li>
<li>Conversational AI </li>
</ul>
<li>Strong understanding of computer science fundamentals.</li>
<li>Contributions to well-used open-source projects. </li>
</ul>
 
Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.
If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!<div>About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a>, <a href="https://x.com/databricks" rel="noopener noreferrer ugc" target="_blank">X</a>, <a href="https://www.youtube.com/@Databricks" rel="noopener noreferrer ugc" target="_blank">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en" rel="noopener noreferrer ugc" target="_blank">Instagram</a>. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing" rel="noopener noreferrer ugc" target="_blank">here</a>. 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
<a href="https://www.databricks.com/legal/applicant-privacy-notice" target="_blank" rel="noopener noreferrer ugc">Applicant Privacy Notice</a></div>

Staff Software Engineer  (Search Ranking)

P-1408
The Mission
We are democratizing Data and AI for every enterprise user. Our vision is a world where anyone can master their organization’s data through Apps and AI Agents. We are building the retrieval backbone for two worlds: the high-precision context layer for AI agents and the intuitive search experience for people goal is the same: instant, accurate, and actionable insight.
 
The Role: 
<ul>
<li>As a Search Quality Engineer, you sit at the heart of this transformation. You aren't just building a search engine; you are building the contextual backbone of the entire company.</li>
<li>You will own the quality of results for two distinct but deeply connected "users":</li>
<li>The AI Agent: Optimizing the retrieval layer that allows LLMs to reason over data they weren’t trained on, ensuring they have the "ground truth" needed  to synthesize accurate, high-stakes business actions.</li>
<li>The Human User: Improving the traditional search experience so employees can find assets and answers through intuitive, high-recall interfaces.</li>
</ul>
The Technical Challenge
This isn't a solved problem. You will be tackling "Search" in its most evolved form:
<ul>
<li>Hybrid Retrieval: Balancing traditional keyword-based search (for exactness) with semantic vector search (for intent).</li>
<li>Dual-Optimization: Fine-tuning ranking models that satisfy both human readability and LLM-ready context.</li>
<li>High-Stakes Accuracy: In a world of Agents, poor search quality leads to hallucinations. You will build the guardrails and relevance scoring that ensure our AI stays grounded in reality.</li>
<li>Data Heterogeneity: Connecting the dots across structured SQL tables, unstructured docs, and real-time business metrics.</li>
</ul>
Why This is the Place to Be
<ul>
<li>You will have a front-row seat to the Agentic revolution. If you want to solve the hardest problems in data discovery and see your work power the decision-making of thousands of people, let’s talk.</li>
</ul>
 
What We’re Looking For
<ul>
<li>The IR Specialist: You know your way around Lucene/Elasticsearch, embeddings, and ranking algorithms.</li>
<li>The Quality and Metrics Obsessive: You understand that "relevance" is subjective and love building evaluation frameworks (human-in-the-loop and LLM-based) to measure it. You are obsessed with relevance metrics (nDCG, MRR, Precision@K).</li>
<li>The Bridge Builder: You’re excited to apply traditional Information Retrieval (IR) wisdom to the cutting-edge world of Retrieval-Augmented Generation (RAG).</li>
</ul><div>About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a>, <a href="https://x.com/databricks" rel="noopener noreferrer ugc" target="_blank">X</a>, <a href="https://www.youtube.com/@Databricks" rel="noopener noreferrer ugc" target="_blank">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en" rel="noopener noreferrer ugc" target="_blank">Instagram</a>. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing" rel="noopener noreferrer ugc" target="_blank">here</a>. 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
<a href="https://www.databricks.com/legal/applicant-privacy-notice" target="_blank" rel="noopener noreferrer ugc">Applicant Privacy Notice</a></div>

Staff Software Engineer- Search Quality

P-1408
The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. 
As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2025, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.
 
Key Responsibilities
<ul>
<li>Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. </li>
<li>Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. </li>
<li>Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. </li>
<li>Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.</li>
</ul>
 
What We’re Looking For
<ul>
<li>BS+ (M.S. or PhD preferred) in Computer Science, or a related field.</li>
<li>10+ years experience developing search relevance systems at scale in production or in high-impact research environments.</li>
<li>Experience applying LLM to search relevance</li>
<li>Experience in one or more of the following:  </li>
<ul>
<li>Query understanding</li>
<li>NLP</li>
<li>Text mining</li>
<li>Recommendations</li>
<li>Personalization</li>
<li>Discovery</li>
<li>Conversational AI </li>
</ul>
<li>Strong understanding of computer science fundamentals.</li>
<li>Contributions to well-used open-source projects. </li>
</ul>
 
Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.
If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!<div>About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a>, <a href="https://x.com/databricks" rel="noopener noreferrer ugc" target="_blank">X</a>, <a href="https://www.youtube.com/@Databricks" rel="noopener noreferrer ugc" target="_blank">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en" rel="noopener noreferrer ugc" target="_blank">Instagram</a>. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing" rel="noopener noreferrer ugc" target="_blank">here</a>. 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
<a href="https://www.databricks.com/legal/applicant-privacy-notice" target="_blank" rel="noopener noreferrer ugc">Applicant Privacy Notice</a></div>

Staff Software Engineer - Machine Learning (Search)

P-375
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.
In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.
We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company.
The Impact you will have:
<ul>
<li>Solve real business needs at large scale by applying your software engineering.</li>
<li>Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers</li>
<li>Low level systems debugging, performance measurement &amp; optimization on large production clusters.</li>
<li>Build architecture design, influence product roadmap, and take ownership and responsibility over new projects</li>
<li>Use your deep experience to help prevent and investigate production issues.</li>
<li>Plan and lead complicated technical projects that work with several teams within the company.</li>
<li>A strong influencer or driver in the organization’s roadmap and direction.</li>
<li>Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.</li>
<li>Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).</li>
<li>Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.</li>
</ul>
What we look for:
<ul>
<li>15+ years industry experience building and supporting large-scale distributed systems.</li>
<li>Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc).</li>
<li>Comfortable working towards a multi-year vision with incremental deliverables.</li>
<li>Motivated by delivering customer value and impact.</li>
<li>Strong foundation in algorithms and data structures and their real-world use cases.</li>
<li>Experience driving company initiatives towards customer satisfaction.</li>
</ul><div>About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a>, <a href="https://x.com/databricks" rel="noopener noreferrer ugc" target="_blank">X</a>, <a href="https://www.youtube.com/@Databricks" rel="noopener noreferrer ugc" target="_blank">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en" rel="noopener noreferrer ugc" target="_blank">Instagram</a>. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing" rel="noopener noreferrer ugc" target="_blank">here</a>. 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
<a href="https://www.databricks.com/legal/applicant-privacy-notice" target="_blank" rel="noopener noreferrer ugc">Applicant Privacy Notice</a></div>

Staff Software Engineer - Ingestion

P-1403
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.
In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.
We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company.
The Impact you will have:
<ul>
<li>Solve real business needs at large scale by applying your software engineering.</li>
<li>Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers</li>
<li>Low level systems debugging, performance measurement &amp; optimization on large production clusters.</li>
<li>Build architecture design, influence product roadmap, and take ownership and responsibility over new projects</li>
<li>Use your deep experience to help prevent and investigate production issues.</li>
<li>Plan and lead complicated technical projects that work with several teams within the company.</li>
<li>A strong influencer or driver in the organization’s roadmap and direction.</li>
<li>Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.</li>
<li>Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).</li>
<li>Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.</li>
</ul>
What we look for:
<ul>
<li>15+ years industry experience building and supporting large-scale distributed systems.</li>
<li>Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc).</li>
<li>Comfortable working towards a multi-year vision with incremental deliverables.</li>
<li>Motivated by delivering customer value and impact.</li>
<li>Strong foundation in algorithms and data structures and their real-world use cases.</li>
<li>Experience driving company initiatives towards customer satisfaction.</li>
</ul><div>About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a>, <a href="https://x.com/databricks" rel="noopener noreferrer ugc" target="_blank">X</a>, <a href="https://www.youtube.com/@Databricks" rel="noopener noreferrer ugc" target="_blank">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en" rel="noopener noreferrer ugc" target="_blank">Instagram</a>. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing" rel="noopener noreferrer ugc" target="_blank">here</a>. 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
<a href="https://www.databricks.com/legal/applicant-privacy-notice" target="_blank" rel="noopener noreferrer ugc">Applicant Privacy Notice</a></div>

P-1348
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform.
We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.
As a Staff Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product.
The impact you will have:
<ul>
<li>Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance.</li>
<li>Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company.</li>
<li>Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.</li>
<li>Design the base ETL framework used by all pipelines developed at the company.</li>
<li>Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.</li>
<li>Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. Provide early feedback on the design and operations of these products.</li>
<li>Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change.</li>
<li>Represent Databricks at academic and industrial conferences &amp; events.</li>
</ul>
What we look for:
<ul>
<li>12+ years of industry experience </li>
<li>4+ years of experience building large scale distributed systems</li>
<li>5+ providing technical leadership on large projects similar to the ones described above - ETL frameworks, metrics stores, infrastructure management, data security.</li>
<li>Experience building, shipping and operating reliable multi-geo data pipelines at scale.</li>
<li>Experience working with and operating workflow or orchestration frameworks, including open source tools like Airflow and DBT or commercial enterprise tools.</li>
<li>Experience with large-scale messaging systems like Kafka or RabbitMQ or commercial systems.</li>
<li>Excellent cross-functional and communication skills, consensus builder.</li>
<li>Passion for data infrastructure and for enabling others by making their data easier to access.</li>
</ul>
 <div>About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a>, <a href="https://x.com/databricks" rel="noopener noreferrer ugc" target="_blank">X</a>, <a href="https://www.youtube.com/@Databricks" rel="noopener noreferrer ugc" target="_blank">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en" rel="noopener noreferrer ugc" target="_blank">Instagram</a>. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing" rel="noopener noreferrer ugc" target="_blank">here</a>. 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
<a href="https://www.databricks.com/legal/applicant-privacy-notice" target="_blank" rel="noopener noreferrer ugc">Applicant Privacy Notice</a></div>

Staff Software Engineer (Data Platform)

P-375
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Staff Software Engineer working on the Data Platform team, you will leverage bleeding-edge AI developer tools and techniques to help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, and many more. You will define the future of a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, and data consumption layers, just to name a few.
 
The impact you will have:
<ul>
<li>Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protection and ease of shareability for the Data Intelligence Platform as we transition to a public company.</li>
<li>Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies, and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.</li>
<li>Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.</li>
<li>Build reliable data pipelines and solve data problems using Databricks, our partner’s products, and other OSS tools. Provide early feedback on the design and operations of these products.</li>
<li>Represent Databricks at academic and industrial conferences &amp; events.</li>
</ul>
What we look for:
<ul>
<li>BS/MS/PhD in Computer Science or related majors, or equivalent experience.</li>
<li>10+ years of industry experience building and operating large-scale distributed systems.</li>
<li>4+ years of experience providing technical leadership on planet-scale production data systems </li>
<li>Experience leading architecture efforts for performance-sensitive systems (e.g., latency-critical services, multi-tenant platforms, large-scale indexing pipelines).</li>
<li>Strong communication skills and the ability to operate effectively in fast-paced, cross-functional environments.</li>
<li>A strategic mindset with the ability to align engineering execution with longer-term product and company goals.</li>
<li>Passion for mentoring and developing other engineers.</li>
</ul><div>About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a>, <a href="https://x.com/databricks" rel="noopener noreferrer ugc" target="_blank">X</a>, <a href="https://www.youtube.com/@Databricks" rel="noopener noreferrer ugc" target="_blank">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en" rel="noopener noreferrer ugc" target="_blank">Instagram</a>. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing" rel="noopener noreferrer ugc" target="_blank">here</a>. 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
<a href="https://www.databricks.com/legal/applicant-privacy-notice" target="_blank" rel="noopener noreferrer ugc">Applicant Privacy Notice</a></div>

Staff Software Engineer - Data Platform

Senior Staff Software Engineer- Search Quality

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