Optum, a leading health services and innovation business of UnitedHealth Group, leverages data and technology to improve health outcomes for millions of people worldwide. With a strong presence in India, Optum’s Hyderabad campus brings together data scientists, engineers, and healthcare experts to build scalable solutions that drive clinical, financial, and operational excellence. The company invests heavily in cloud platforms, advanced analytics, and AI, fostering a culture of continuous learning and impact-driven work. As a Data Engineer – ETL, SQL & Databricks, you will be at the heart of Optum’s data ecosystem. You will design, develop, and maintain robust data pipelines that ingest, transform, and load massive volumes of health‑care data into cloud‑based warehouses. Your work will enable data scientists and business analysts to derive actionable insights that improve patient care and operational efficiency. The role offers exposure to cutting‑edge technologies such as Azure Databricks, Snowflake, and modern ETL orchestration tools, making it an ideal launchpad for freshers and early‑career professionals. Key Responsibilities: 1. Build and optimize end‑to‑end ETL pipelines using SQL and Databricks notebooks. 2. Write complex SQL queries for data extraction, transformation, and aggregation. 3. Collaborate with data architects to model data warehouses and data lakes. 4. Ensure data quality by implementing validation checks and monitoring pipelines. 5. Automate data workflows using orchestration tools like Azure Data Factory or Airflow. 6. Participate in code reviews and adopt best practices for version control (Git). 7. Troubleshoot and resolve performance bottlenecks in data processing jobs. 8. Document data lineage, pipeline architecture, and operational procedures. 9. Support ad‑hoc data requests from analytics and product teams. 10. Stay updated with emerging data engineering trends and propose innovative solutions. Tech Stack: SQL, Python, Databricks, Azure Data Factory, Snowflake, Git, Linux, Docker (optional). Growth Path: Successful engineers can progress to Senior Data Engineer, Data Platform Lead, or specialize in Data Architecture and Machine Learning Ops. Why Join Optum? You will work on real‑world health data that directly influences patient outcomes, enjoy a collaborative environment that values learning, and receive mentorship from industry veterans. The company’s global footprint offers opportunities for cross‑functional projects and international exposure, making it a compelling choice for ambitious data professionals.