Data Engineer - ETL SQL Databricks

Optum India; Hyderabad; On-site; INR 1,400,000 - 2,300,000; Full time

Job summary

Optum India is seeking a data engineer to design and operate cloud-native data pipelines on Azure and Databricks. You will build Spark-based ETL frameworks for large-scale batch processing and modernize on-prem ETL workloads to cloud platforms like Databricks and Snowflake.

You will collaborate with cross-functional teams to meet complex data requirements, ensure data quality, and document processes while aligning with enterprise standards and governance.

Qualifications

• Bachelor's degree in engineering or related field.
• Experience with Databricks and cloud-native data platforms, preferably Azure.
• Experience with ETL tools and large-scale data warehouse implementations.
• Experience migrating on-prem ETL workloads to cloud architectures.
• Solid experience building ETL pipelines using Python, PySpark, Spark SQL.
• Understanding of data warehousing concepts including dimensional modeling, data quality, reconciliation, and performance tuning.
• Familiarity with cloud ecosystems (Azure/AWS/GCP) and workflow orchestration tools like Airflow.
• Proficient in SQL and working with relational and distributed databases.
• Strong analytical and problem-solving skills to deliver scalable, reliable data solutions.
• Ability to collaborate across teams; leadership or mentoring is a plus.

Responsibilities

• Contribute to design, ETL development, and operation of cloud-native data pipelines on Azure and Databricks.
• Design and optimize Spark-based ETL frameworks for large-scale batch and incremental processing.
• Implement complex transformations and performance tuning using Python and Spark SQL.
• Modernize on-prem ETL workloads to Databricks/Snowflake with scalability and governance.
• Collaborate with cross-functional teams to understand complex data requirements and deliver tailored solutions.
• Ensure data quality and integrity with robust data validation and monitoring.
• Develop comprehensive documentation for data engineering processes and systems.
• Comply with company policies and evolving work arrangements.

Skills

Databricks

Azure

Python

PySpark

Spark SQL

SQL

Data warehousing

Airflow

ETL pipelines

Problem solving

Collaboration/leadership

Education

Bachelor's degree in engineering

Tools

Databricks

DataStage

Airflow

Spark

Job description

Job Description:

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 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

• Contribute hands on to the design, ETL development, and operation of cloud native data pipelines on Azure and Databricks
• Design and optimize Spark based ETL frameworks for large scale batch and incremental processing
• Implement complex transformations and performance tuning using Python and Spark SQL
• Modernize on prem ETL workloads to Databricks/snowflake, ensuring enterprise standards for scalability, reliability, and governance
• Collaborate with cross-functional teams to understand complex data requirements and deliver tailored solutions
• Ensure data quality and integrity by implementing robust data validation and monitoring processes
• Develop comprehensive documentation for data engineering processes and systems
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications

• Bachelor's degree (B.E./B.Tech) in any engineering or related discipline
• Hands on experience with Databricks and cloud native data platforms, preferably on Azure
• Experience with ETL tools (e.g., DataStage) and large scale data warehouse implementations
• Experience migrating or modernizing on prem ETL workloads to cloud architectures
• Solid experience building ETL pipelines using Python, PySpark, and Spark SQL
• Solid understanding of data warehousing concepts, including dimensional modeling, data quality, reconciliation, and performance tuning
• Familiarity with cloud ecosystems (Azure/AWS/GCP) and workflow orchestration tools such as Airflow
• Proficient in SQL and working with relational and distributed database systems
• Demonstrated solid analytical and problem solving skills with the ability to deliver scalable, reliable data solutions
• Demonstrated ability to collaborate effectively across teams; leadership or mentoring experience is a plus

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.