Data Engineer - Cloud ETL, Azure, Data Bricks, Snowflake, Pyspark
Optum (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 18–30 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain ETL/ELT pipelines using Databricks, Snowflake, Python, and Teradata supporting enterprise reporting, analytics, and AI/ML.
- Develop and support workflow orchestration via Airflow, implement CI/CD using GitHub/GitHub Copilot, and ensure operational monitoring and production support.
- Collaborate with business and technical teams to gather requirements and deliver compliant data solutions within healthcare regulations and data governance frameworks.
Minimum Requirements
- Bachelor's degree in Computer Science, Information Systems, or related field.
- 5+ years of experience in Data Engineering, Data Warehousing, or ETL development.
- Hands-on experience with Databricks, Snowflake, Teradata, Python, UNIX, Airflow, and GitHub/GitHub Copilot.
- Strong SQL and data modeling skills, knowledge of AI/ML data engineering support, and compliance with healthcare data governance.
Ideal Candidate Profile
- Experienced with enterprise-scale data engineering supporting AI/ML workloads in regulated environments, preferably healthcare domain.
- Operationally responsible for end-to-end ETL pipelines and production deployments, showing capability in troubleshooting and performance tuning.
- Collaborates cross-functionally between technical and business teams, with emphasis on data quality, compliance, and scalable data solutions.