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Brillio 2

Lead Data Engineer

Original listing title: Lead Data Engineer - R01571409

Data Engineering
Bangalore, Karnataka, IndiaEmployee

About this role

Lead Data Engineer

Job requirements

Experience Range: 8- 10 years of experience in data engineering, with hands-on expertise in Snowflake, dbt, and AWS cloud services Key Responsibilities:
  • Develop, maintain, and optimize dbt models, macros, and tests to support scalable ETL/ELT data pipelines
  • Administer and manage Snowflake data warehouses, including databases, schemas, roles, and security configurations to ensure robust data governance
  • Optimize complex SQL queries and warehouse performance, reducing processing times and improving storage utilization
  • Manage and integrate AWS services such as S3, Lambda, Secret Manager, IAM, and CloudWatch to build and maintain reliable cloud data infrastructure
  • Implement and maintain CI/CD pipelines for automated deployment and release management of data solutions
  • Configure and monitor data quality checks, alerting systems, and performance monitoring to ensure high data reliability and integrity
  • Troubleshoot and resolve production issues, conducting thorough root cause analysis to minimize downtime and prevent recurrence
  • Collaborate closely with analytics, business intelligence, and engineering teams to deliver high-impact, scalable data solutions aligned with business objectives
  • Medallion modeling: Design, build, and maintain dbt models across Bronze → Silver → Gold layers for the assigned domain.
  • Governance alignment: Partner with the Data Governance team so models meet certification and quality-gate standards before promotion.
  • Downstream support: Support data modeling for downstream analytics platform consumers (dashboards and data products)
  • Troubleshooting & support: Diagnose and resolve pipeline issues; participate in on-call/support rotation as needed.
  • Documentation: Document data lineage, model logic, and key technical decisions so the work is maintainable by the internal team.
  • Maintain and Develop APIs
    • Required Skills:
  • Advanced proficiency in SQL (basic and advanced)
  • Expertise in developing and managing dbt models, macros, and tests
  • Hands-on experience with Snowflake data warehousing, including Time Travel and Fail Safe features
  • Strong understanding of ETL/ELT fundamentals and best practices
  • Proficiency in Python for data engineering and automation tasks
  • Administration of Snowflake warehouses, databases, schemas, and role-based security
  • Management of AWS services such as S3, Lambda, Secret Manager, IAM, and CloudWatch
  • Implementation and maintenance of CI/CD pipelines for data deployments
  • Configuration of monitoring, alerting, and data quality checks in cloud data platforms
    • Preferred Skills:
  • Experience with modern data platform fundamentals and architecture
  • Expertise in optimizing large-scale data pipelines for performance and cost efficiency
  • Familiarity with data governance and compliance best practices in cloud environments
  • Knowledge of infrastructure-as-code tools for cloud resource management
  • Exposure to advanced Snowflake features such as data sharing and secure data exchange
    • Desired Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field
  • Relevant industry certifications in AWS, Snowflake, or dbt are highly desirable

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