Data Engineer (Python)
Tasks
- Build and scale health data pipelines
- Design data validation frameworks
- Ensure pipeline reliability and data quality
- Implement automated testing
- Optimize processing performance and cost
- Partner with Science and Product teams for requirements
Perks/Benefits
- Flexible work model
- Office lunch stipend
- Paid leave
- Private health insurance
- Work from anywhere policy
Skills/Tech-stack
Agentic code generation | Agentic code generation tools | Airflow | Cloud Data | Cloud Data Warehouses | Code generation tools | Data Governance | Data Modeling | Data Processing | Data Warehouses | Data pipeline | Data pipeline design | Deployment Architecture | Distributed data | Distributed data processing | On-premise | On-premise deployment | On-premise deployment architecture | Pipeline Design | Python | Security practices | Snowflake | Spark
Education
Roles
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