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 perks 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, test, and support scalable data pipelines and ETL/ELT solutions using Azure Databricks, PySpark, SQL, and cloud-native technologies
Contribute to the NHI Cloud Modernization program by migrating and modernizing legacy Teradata, DataStage, Unix, and SAS-based data processing workloads to Azure Databricks and Snowflake
Develop and maintain data ingestion, transformation, and data quality frameworks supporting Bronze, Silver,



and Gold data layers within the enterprise lakehouse architecture
Build reusable and optimized PySpark components, notebooks, and workflows to process large-scale healthcare claims, membership, provider, and ancillary datasets
Implement monitoring, logging, alerting, exception handling, and operational automation to improve platform reliability and supportability
Partner with product owners, business stakeholders, architects, and data consumers to understand requirements and deliver high-quality data products
Support data governance, security, lineage, and access control processes in alignment with enterprise standards
Perform performance tuning, workload optimization, and cost management of Databricks environments and data pipelines
Participate in code reviews, technical design discussions, release activities, production support, and root-cause analysis of data platform issues
Contribute to engineering best practices including CI

📌 Senior Data Engineer (Gurugram)
🏢 Optum India
📍 Gurugram