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

Developing and implementing highly responsive user interface components using ReactJS, python, REST APIs and RDBMS like SQL Server
Design, develop, and maintain scalable data engineering solutions using Azure Databricks, PySpark, Spark SQL, and Delta Lake
Design, build, and support enterprise-scale ETL and data ingestion frameworks that integrate diverse data sources, including APIs, CSV files, relational databases, Snowflake, Kafka, and other streaming platforms




Designing Lakehouse architectures using Bronze, Silver, and Gold data layers
Develop real-time and batch data pipelines supporting observability, monitoring, data quality, and business intelligence use cases
Implement data quality, validation, reconciliation, freshness, completeness, and anomaly detection frameworks
Create machine learning and AI-driven solutions using Python, Azure ML, and Azure OpenAI services
Develop LLM-powered triaging and intelligent automation solutions that analyze incidents, generate root cause hypotheses, and recommend remediation actions
Build AI systems capable of correlating metrics, logs, traces, telemetry, and event streams across multiple enterprise platforms
Develop REST APIs and backend services to support data access, control plane, and monitoring capabilities
Optimize PySpark workloads, streaming jobs, Delta tables, and Databricks environments for cost, scalability, and

📌 Lead Full Stack Engineer (Noida)
🏢 Optum India
📍 Noida