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UnitedHealth Group
Senior Data Engineering Analyst
UnitedHealth Group
Chennai•On-site•3-5 Yrs•Jun 29
Job description
Overview
We are looking for a Senior Data Engineer to design, implement, and operate large-scale data systems and production-grade applications in a cloud environment.
Responsibilities
- Data & Platform Engineering:
- Design, build, and maintain scalable, fault-tolerant data pipelines and data platforms in a cloud-native environment
- Own end-to-end development of data ingestion, processing, and transformation systems used by downstream services and applications
- Implement efficient data models and storage patterns in modern data warehouses and operational databases
- Production Systems & Applications:
- Develop and maintain production-grade backend services and applications that power data workflows and internal platforms
- Build and expose data services and APIs to enable secure, reliable access to data across engineering systems
- Ensure high availability, low latency, and resilience of data-driven applications running in production
- Workflow Orchestration & Reliability:
- Design and operate workflow orchestration frameworks to schedule, monitor, and manage complex data workloads
- Implement robust error handling, retries, monitoring, and alerting for all production pipelines and services
- Troubleshoot and resolve performance, scalability, and reliability issues in live systems
- Cloud & DevOps Engineering:
- Deploy and operate data systems using cloud infrastructure, containers, and automated CI/CD pipelines
- Apply Infrastructure-as-Code and automation best practices to ensure repeatable, reliable deployments
- Optimize cloud resources for performance, cost, and operational efficiency
- Engineering Excellence & Collaboration:
- Participate in system design reviews and contribute to architecture decisions for data and platform components
- Write clean, maintainable, and well-tested code following engineering best practices
- Mentor junior engineers and raise the overall engineering maturity of the team
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
- Hands-on experience building and maintaining production data pipelines
- Cloud Platforms: Experience with at least one major cloud provider (AWS, Azure, or GCP)
- Programming: Knowledge of Python, SQL
- Data Engineering: Knowledge of ETL/ELT concepts, data pipeline design
- Databases: Knowledge of relational databases and data warehouses
- Workflow Orchestration: Knowledge of Airflow or similar tools
- DevOps: Knowledge of Docker, Git, CI/CD fundamentals
- Solid understanding of data modeling and performance optimization
- Exposure to backend frameworks or API development
- Knowledge of Infrastructure as Code and automated deployments