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UnitedHealth Group
Senior Data Engineer
UnitedHealth Group
Hyderabad•On-site•3-6 Yrs•Jul 7
Job description
Overview
As a Senior Data Engineering Analyst on our technology team, you will design, develop, and optimize high-volume cloud-based data pipelines that drive critical healthcare business insights.
Responsibilities
- Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
- Evaluate emerging trends to inform solution design and strategic innovation
- Design, develop, and maintain secure, scalable, and robust data pipelines using Azure Databricks, Python, and Apache Spark
- Extract, transform, and load (ETL) data from legacy platforms like Teradata and IBM DataStage into modern cloud-based data environments
- Orchestrate and schedule complex data workflows and ETL processes using orchestration tools (with a preference for Apache Airflow)
- Optimize data pipeline performance, troubleshooting bottlenecks, and ensuring data quality and integrity
- Collaborate with cross-functional teams to translate business and data requirements into efficient engineering solutions
- Provide technical guidance, mentoring, and support to junior engineers within the team
Qualifications
- Bachelor's/master's degree (such as B.E, B. Tech, MCA, M. Tech, MS) in Computer Science, Information Technology, or a related field, or equivalent
- 3+ years of professional experience in data engineering, database management, or software engineering
- 3+ years of experience designing and developing data pipelines using Apache Spark (PySpark or Scala) and Python
- 2+ years of experience building and optimizing modern cloud data solutions using Azure Databricks
- 2+ years of experience migrating or integrating legacy ETL platforms (such as IBM DataStage) and databases (such as Teradata)
- 1+ years of experience with workflow scheduling/orchestration tools (such as Apache Airflow, Autosys, or equivalent)
- Proven communication and presentation skills, with the ability to articulate technical details to stakeholders
- Hands-on experience utilizing generative AI tools (such as GitHub Copilot) to accelerate coding, unit testing, and documentation
- Knowledge of healthcare domain datasets, particularly around Customer, Member, Claims, and Provider information