Lead Data Engineer - R01571409
Brillio (company site, opens in a new tab)8–10 yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop, maintain, and optimize scalable dbt models and ETL/ELT data pipelines within Snowflake and AWS environments.
- Administer Snowflake data warehouses including security configurations and governance alignment with data quality standards.
- Manage AWS services integration and CI/CD pipeline implementation for reliable cloud data infrastructure and automated deployments.
Minimum Requirements
- 8-10 years of experience in data engineering with hands-on expertise in Snowflake, dbt, and AWS cloud services.
- Advanced proficiency in SQL and Python for data engineering and automation.
- Bachelor’s or Master’s degree in Computer Science, IT, Engineering, or a related field.
- Experience administering Snowflake warehouses including databases, schemas, roles, and security; experience with AWS services such as S3, Lambda, Secret Manager, IAM, and CloudWatch.
Ideal Candidate Profile
- Experienced in managing complex, large-scale ELT pipelines and optimizing data warehouse performance for cost and speed.
- Capable of collaborating with governance teams to ensure certification and quality-gate standards for data models.
- Ability to diagnose production issues and maintain documentation for maintainability and downstream support.