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, enhancing, and maintaining data pipelines that enable analytics and enterprise reporting solutions
Assist in building and optimizing data processing workflows using Python, Spark, and Scala, following established development standards and best practices
Support batch and streaming data ingestion processes, including exposure to Kafka based data pipelines
Apply data warehousing and data modeling fundamentals while working with structured and semi structured data




Participate in activities such as job monitoring, incident resolution, and ensuring day to day platform stability
Assist with addressing security vulnerabilities, implementing fixes, and following data security guidelines across environments
Support tool and software upgrades, testing changes and validating data pipelines post deployment
Create, modify, and maintain Azure Data Factory (ADF) pipelines under the guidance of senior engineers
Support Databricks workloads, including job execution, performance troubleshooting, and basic optimizations
Manage and support cloud data storage and data movement using Azure Blob Storage and AZ Copy
Collaborate with cross functional teams, document solutions, and participate in knowledge transfer activities
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, t

📌 Data Engineer Analyst (Hyderabad)
🏢 Optum India
📍 Hyderabad