Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive advantages and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities

Design, develop, and maintain scalable data pipelines using SQL, Python, and Snowflake
Develop high-performance data transformations and ETL/ELT processes, ensuring data accuracy and integrity
Write complex SQL queries for large-scale data processing, aggregation, and reporting needs
Optimize data workflows through query tuning, indexing strategies, and performance engineering
Manage and enhance Snowflake data warehouse solutions, including schema design and data organization




Work with Postgres and MySQL databases for data integration, migration, and operational support
Collaborate with product and business teams to translate requirements into clean, reliable data models
Ensure data quality through validation frameworks, reconciliation, and monitoring
Build reusable components and automation to reduce operational overhead and improve efficiency
Contribute to data platform design decisions, focusing on scalability, reliability, and maintainability
Troubleshoot production data issues and ensure timely resolution with minimal impact
Mentor junior engineers and promote best practices in SQL development, coding standards, and data engineering
Communicate clearly with technical and non-technical stakeholders regarding data design and delivery
Work in an agile environment across multiple teams and priorities
Comply with the terms and conditions of the employment contract,

📌 Data Engineering Lead (Hyderabad)
🏢 Optum India
📍 Hyderabad