17 Aug
|
Optum
|
Hyderabad
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 advantages, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits 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:
Support enterprise data platform and pipeline operations across Unified Data Platform (UDP) initiatives
Develop, monitor, and troubleshoot data ingestion and transformation pipelines using StreamSets, Snowflake, and Python
Support Salesforce-to-Snowflake integration workflows and operational monitoring activities
Participate in production support, incident response, root cause analysis (RCA), and operational issue resolution
Collaborate with engineering, product,
cloud, and data platform teams to support delivery commitments
Perform SQL analysis, data validation, pipeline testing, and operational troubleshooting
Contribute to CI/CD, GitHub-based development workflows, and engineering best practices
Support AI-assisted operational analysis, code validation, and engineering productivity improvements
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, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work perks and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business workplace). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (i
📌 Senior Software Engineer Hyderabad
🏢 Optum
📍 Hyderabad