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 implement scalable data pipelines using Azure Databricks
Develop PySpark-based data transformations and integrate structured and unstructured data from various sources
Optimize Databricks clusters for performance, scalability, and cost-efficiency within the Azure ecosystem
Monitor, troubleshoot, and resolve performance bottlenecks in Databricks workloads
Manage orchestration and scheduling of end to end data pipeline using tool like Apache airflow,



ADF scheduling, logic apps
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.
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 advantages and/or work setting, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:
Undergraduate degree
7+ years

📌 Data Engineering Lead Hyderabad
🏢 Optum
📍 Hyderabad