Encora10

Título del puesto: Data Analyst
Experiencia: +3 años de experiencia afín
Ubicación: Lima, Perú
Modalidad: Híbrido, asistencia semanal (1-2 veces) y trimestral, oficina en San Isidro.
 
En Coforge estamos buscando un Data Analyst (#22483) con el siguiente perfil.
Responsabilidades principales
<ul>
<li>Diseñar y validar modelos de datos orientados a necesidades analíticas y regulatorias del negocio.</li>
<li>Analizar información de productos, procesos y datos asociados a Banca y Seguros.</li>
<li>Proponer soluciones de modelamiento de datos para iniciativas del negocio, identificando estructuras de información, reglas de negocio y oportunidades de optimización que soporten los requerimientos analíticos y operativos.</li>
<li>Participar activamente en la definición de modelos de información para nuevos requerimientos, asegurando su alineamiento con las necesidades del negocio y las mejores prácticas de gestión de datos.</li>
<li>Analizar procesos existentes desarrollados en DataStage, SSIS y AS400.</li>
<li>Participar en el levantamiento y análisis de requerimientos funcionales y de negocio.</li>
<li>Identificar y documentar métricas, indicadores y reglas de negocio requeridas por las áreas usuarias.</li>
<li>Elaborar documentos de análisis y gobierno de datos, tales como diccionarios de datos, matrices origen-destino y catálogos de indicadores.</li>
<li>Diseñar y desarrollar reportes, tableros de control e indicadores de gestión.</li>
<li>Realizar validaciones funcionales y asegurar la calidad de la información entregada a los usuarios.</li>
</ul>
Requisitos indispensables
<ul>
<li>Profesionales con +3 años de experiencia en roles de Data Analyst.</li>
<li>Experiencia en Seguros; proponiendo soluciones de modelamiento de datos para procesos y productos del sector.</li>
<li>Experiencia en modelamiento de datos (conceptual, lógico y físico).</li>
<li>Experiencia sólida con SQL Server, DB2 (deseable)</li>
<li>Experiencia con SSIS / SSAS, SSIS Catalog.</li>
<li>Conocimiento de procesos DataStage</li>
</ul>
Requisitos deseables
<ul>
<li>Conocimiento o experiencia con GeneXus, AS400 y Power BI</li>
</ul>
 
Publicado el: 24-07-2026
En Coforge, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad.

Data Analyst (exp. en Seguros)

<div>
Job Title: Senior Data Engineer Key Skills: SQL, Databricks, PySpark, Data Engineering, PostgreSQL, AWS Experience: 3+ YOE. Location: Costa Rica, Peru, Colombia, and Bolivia. Mode: Remote.
We at Coforge are hiring Senior Data Engineer (#22328) with the following skill set.
Key Responsibilities · Write, optimize, and maintain complex SQL across MySQL, Aurora PostgreSQL, SQL Server, and Databricks (Spark SQL). · Design, develop, and support data ingestion pipelines using API integrations, file ingestion, CDC patterns, and modern data engineering practices. · Build and optimize Databricks Lakehouse architectures following the Medallion model (Bronze, Silver, Gold). · Own and enhance stored procedures, views, and functions supporting production business workflows and reporting processes. · Perform database performance tuning, query optimization, execution plan analysis, indexing, and partitioning strategies. · Design and maintain dimensional models and star schemas for analytical workloads. · Collaborate closely with software engineering teams on data access patterns, integrations, migrations, and API data contracts. · Support data migration initiatives, data validation, reconciliation processes, and production go-live activities. · Implement and maintain ETL/ELT processes with automated testing, monitoring, alerting, and data quality controls. · Contribute to data governance, security, lineage tracking, and compliance requirements across enterprise data platforms.
Required Skills &amp; Qualifications · Bachelor’s degree in Computer Science, Information Systems, or a related field. · 3+ years of hands-on experience writing production-grade SQL. · Strong expertise with at least two relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle. · Advanced knowledge of CTEs, window functions, recursive queries, query plan analysis, and stored procedure development. · 2+ years of experience building data processing pipelines using Python or PySpark. · Experience designing and maintaining dimensional models and star schemas. · Solid understanding of software engineering fundamentals including Git, CI/CD pipelines, code reviews, and Agile/Scrum methodologies. · Experience working with distributed and offshore teams across multiple time zones. · Strong analytical, troubleshooting, and problem-solving skills.
Preferred Skills · Experience with Databricks, Lakehouse architecture, and Medallion patterns (Bronze/Silver/Gold). · Experience with AWS services such as Aurora, Glue, S3, Lambda, and EventBridge. · Background in Financial Services, Loan Servicing, or FinTech environments. · Familiarity with event-driven architectures, CDC patterns, Kafka, or MSK. · Experience with data governance, security controls, and handling PII or sensitive financial data. · Experience with OutSystems or other low-code platforms. · Experience using AI-assisted development tools such as Claude Code or similar solutions. · Exposure to Databricks Mosaic AI or other LLM-powered data technologies.
Posted On: 14-08-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
</div>

Senior Data Engineer

<div>
Job Title: Lead / Principal Data Engineer - DBT &amp; Databricks Key Skills: DBT, Azure Databricks, SQL, Python, Delta Lake, AI-Assisted Development Experience: 5+ YOE. Location: Costa Rica, Peru, Colombia, and Bolivia. Mode: Remote.
We at Coforge are hiring Lead / Principal Data Engineer - DBT &amp; Databricks (#22555) with the following skill set.
Key Responsibilities · Design, build, and maintain DBT models on Azure Databricks using Delta Lake, Unity Catalog, and Medallion Architecture principles. · Deliver curated Gold-layer data domains to production standards in regulated enterprise environments. · Leverage AI-assisted development tools such as Claude Code for model generation, refactoring, documentation, debugging, and engineering acceleration. · Establish comprehensive DBT testing strategies, including schema validation, data quality testing, unit testing, and automated quality controls. · Work within fast-paced, CI/CD-driven delivery environments using pull request workflows and automated quality gates. · Curate datasets, semantic definitions, and business terminology to support Databricks Genie and natural-language analytics initiatives. · Define and enforce data contracts, domain ownership, and governance standards. · Implement data observability, monitoring, and root-cause analysis practices across data platforms. · Drive modernization and migration initiatives through AI-assisted Data Engineering approaches. · Contribute to engineering playbooks, standards, and enablement programs related to DBT, Databricks, and AI-powered development. · Measure and improve AI-generated code adoption, quality, productivity, and delivery outcomes.
Required Skills &amp; Qualifications · 5+ years of experience in Data Engineering. · At least 2 years of hands-on experience building and operating production-grade DBT projects, including models, tests, macros, snapshots, and large-scale refactoring. · Strong SQL skills and solid Python programming experience. · Hands-on experience with Azure Databricks, including Delta Lake, Unity Catalog, and Medallion Architecture. · Strong knowledge of DBT testing frameworks, data validation, and quality assurance best practices. · Familiarity with tools such as dbt-expectations, Great Expectations, or Delta Live Tables expectations. · Experience working with Git-based pull request workflows, code reviews, and CI/CD deployment pipelines. · Experience using AI-powered development tools such as Claude Code, GitHub Copilot, Cursor, or similar solutions. · Ability to independently own data domains and collaborate directly with business stakeholders. · Strong communication, analytical, and problem-solving skills.
Preferred Skills · Experience curating Databricks Genie environments or building semantic layers for natural-language analytics. · Experience within Insurance or Financial Services domains. · Experience working with policy, claims, exposure, or regulatory reporting data. · Hands-on experience with PySpark for large-scale data transformations. · Experience with Databricks Workflows, Airflow, or similar orchestration platforms. · DBT and/or Databricks certifications. · Experience implementing AI-driven modernization and migration programs.
Posted On: 14-08-2026
At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
</div>

Lead / Principal Data Engineer - DBT & Databricks

<div>
Job Title: Senior .NET Azure AI Developer Key Skills: C#, .NET, Microsoft Azure, Azure OpenAI, Azure AI Foundry, REST APIs Experience: 5+ YOE. Location: Costa Rica, Peru, Colombia, and Bolivia. Mode: Remote.
We at Coforge are hiring Senior .NET Azure AI Developer (#22577) with the following skill set.
Key Responsibilities · Develop C# services, APIs, utilities, and reusable integration components. · Build cloud-based applications and enterprise integrations using Microsoft Azure services. · Integrate AI solutions leveraging Azure OpenAI and Azure AI Foundry. · Design and implement secure API and data integrations across cloud and internal platforms. · Build and support Copilot Studio agents integrated with Azure services, SharePoint, enterprise applications, and automation workflows. · Develop Power Automate flows for approvals, notifications, document processing, integrations, and scheduled automations. · Develop Power Apps solutions supporting business and operational processes when required. · Troubleshoot applications, APIs, integrations, permissions, workflows, and production issues. · Implement logging, monitoring, exception handling, retry mechanisms, and performance improvements. · Test, deploy, maintain, and continuously enhance AI and automation solutions. · Work independently throughout the full development lifecycle, from requirements gathering to production support.
Required Skills &amp; Qualifications · Strong hands-on experience with C# and .NET development. · Strong experience with Microsoft Azure services and cloud integrations. · Experience designing and developing REST APIs and system integrations. · Strong knowledge of JSON, SQL, authentication mechanisms, and secure data integration practices. · Hands-on experience with Azure OpenAI and Azure AI Foundry. · Experience with Git, Azure DevOps, CI/CD pipelines, and deployment processes. · Strong troubleshooting, debugging, logging, and production support skills. · Excellent problem-solving and communication skills. · Ability to work independently in a fast-paced environment.
Preferred Skills · Experience with Microsoft Copilot Studio and AI agent development. · Experience integrating SharePoint, Outlook, Teams, Dataverse, and Microsoft 365 services. · Experience developing custom connectors and enterprise integrations. · Knowledge of prompt engineering and AI model integration within business applications. · Understanding of application security, permissions, service accounts, and access control models. · Experience with Azure Application Insights or similar monitoring solutions. · Experience with Power Automate cloud flows. · Experience with Microsoft Power Apps. · Experience with UiPath or other Robotic Process Automation (RPA) platforms. · Experience with Azure Functions, Logic Apps, Service Bus, or other Azure integration services. · Python development experience is a plus.
Posted On: 14-08-2026
At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
</div>

Senior .NET Azure AI Developer

Position Title:      Machine Learning Specialist (Research &amp; Engineering)
Work Location:    BGC, Taguig City. (2 x onsite per week  hybrid set up)
 
We are seeking a versatile Machine Learning Specialist to own the end-to-end lifecycle of AI development. This role is designed for a technical expert who can navigate the entire spectrum of machine learning—from conducting state-of-the-art research and fine-tuning foundational models to architecting the production-grade pipelines and APIs that bring these models to life. You will bridge the gap between theoretical innovation and scalable business impact, ensuring our AI solutions are both cutting-edge and operationally robust.
Key Responsibilities
The following are key areas of responsibility, but not limited to the ff:
<ol>
<li>Research &amp; Experimental Innovation</li>
</ol>
<ul>
<li>Advanced Research: Conduct deep-dive research into state-of-the-art (SOTA) architectures and foundational models to solve complex business problems like credit scoring, fraud detection, and personalization.</li>
<li>Model Optimization: Execute rigorous hyperparameter tuning and fine-tuning techniques (e.g., PEFT, LoRA, QLoRA) to maximize model accuracy and efficiency.</li>
<li>Benchmarking &amp; Evaluation: Develop comprehensive evaluation frameworks and leaderboards to monitor model accuracy and compare experimental iterations.</li>
</ul>
<ol>
<li>Data Strategy &amp; Engineering</li>
</ol>
<ul>
<li>Pipeline Design: Lead the design of experimentation datasets and production data pipelines, focusing on feature engineering and data augmentation.</li>
<li>Data Quality: Ensure high-quality data inputs for both training and real-time inference, collaborating with data squads to maintain data integrity.</li>
</ul>
<ol>
<li>Production Engineering &amp; MLOps</li>
</ol>
<ul>
<li>Deployment &amp; Orchestration: Architect and manage the end-to-end deployment of models using containers (Docker, Kubernetes) and CI/CD pipelines.</li>
<li>System Integration: Build robust APIs to integrate AI models with internal platforms and refactor research code into production-grade, low-latency, and high-throughput codebases.</li>
<li>Model Governance: Implement MLOps best practices, including versioning (DVC), drift detection, and automated "quality gates" to ensure alignment with internal KPIs and regulatory standards.</li>
</ul>
<ol>
<li>Squad Collaboration &amp; Agile Delivery</li>
</ol>
<ul>
<li>Active Squad Collaboration: Work as a core member of a cross-functional squad, aligning daily with Data Engineers, Backend Developers, and Product Owners to ensure seamless product integration.</li>
<li>Agile Participation: Drive technical value within Agile ceremonies (Stand-ups, Sprints, Retrospectives) by translating high-level business requirements into executable research hypotheses and production-ready sprints.</li>
</ul>
<ol>
<li>Documentation &amp; Knowledge Leadership</li>
</ol>
<ul>
<li>Technical Documentation: Author and maintain the full technical stack documentation, ranging from scientific research findings and experimental logs to system architecture diagrams and deployment guides.</li>
<li>Peer Mentoring: Act as a technical subject matter expert by mentoring squad members, conducting code reviews, and fostering an internal culture of AI literacy and "New Ways of Working."</li>
</ul>
Minimum Requirements
<ul>
<li>Education: Undergraduate degree in a quantitative field (e.g., Computer Science, Statistics,Information Technology or Physics, or Mathematics). A Graduate degree (Master’s or PhD) is highly preferred for the research component.</li>
<li>Experience: 3+ years in a functionally similar role (Data Science, ML Research, or ML Engineering).</li>
<li>Technical Proficiency: * Expert-level Python and SQL.</li>
<ul>
<li>Strong experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX).</li>
<li>Hands-on experience with Git, CI/CD, and MLOps tools.</li>
</ul>
<li>Mindset: A strong bias toward model explainability and security.</li>
</ul>
Preferred Skills
<ul>
<li>Portfolio: A demonstrable portfolio of advanced AI use cases (e.g., GenAI, NLP, Recommender Systems, or Graph Algorithms).</li>
<li>Cloud Infrastructure: Familiarity with AWS, GCP, or Azure AI services.</li>
<li>Publications: Published research in relevant AI/ML conferences or journals.</li>
</ul>

Encora10

Open jobs at Encora10

Data Analyst (exp. en Seguros)

Senior Data Engineer

Lead / Principal Data Engineer - DBT & Databricks

Senior .NET Azure AI Developer

Machine Learning Specialist

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