- Design, build, and maintain batch and real-time data pipelines for time-series healthcare data.
- Collaborate with cross-functional teams to understand data requirements and translate them into engineering solutions.
- Manage and optimize data ingestion, processing, and storage using contemporary data engineering tools.
- Develop and maintain data models, databases, and data lakes to support analytics, reporting, and ML workflows.
- Implement monitoring, alerting, and observability systems to ensure data quality and uptime.
- Work with DevOps and ML Ops teams to deploy and monitor data services in production.
- Ensure compliance with healthcare data security and privacy standards (HIPAA, SOC2, ISO27001).
- Proactively identify and resolve performance bottlenecks in data pipelines.