Data Engineer – ETL, SQL & Databricks

Round 1: Online aptitude test (logical reasoning, quantitative, verbal) → Round 2: Technical interview (SQL, Python, ETL concepts, Databricks basics) → Round 3: HR interview (fitment, communication, career goals)

Optum promotes a people‑first culture where collaboration, innovation, and continuous learning are encouraged. Employees benefit from structured mentorship programs, flexible work arrangements, and a focus on work‑life balance. The organization’s global reach provides ample opportunities for career growth and cross‑functional exposure.

The Optum interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on SQL, ETL concepts, and Python coding. The final HR round assesses cultural fit, communication skills, and career aspirations. Candidates report moderate difficulty, with emphasis on problem‑solving ability and clear articulation of data pipeline design.

• Minimum: Bachelor’s degree in Computer Science, Information Technology, Electronics & Communication, or related engineering discipline. • Minimum aggregate: 60% (or CGPA 6.0/10) in the qualifying degree. • No active backlogs at the time of joining. • Freshers are welcome; experienced candidates should have up to 2 years of relevant experience in data engineering, ETL, or analytics. • Strong foundation in databases, SQL, and programming concepts. • Graduating batch can be 2022, 2023, 2024, or 2025.

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.