Related skills
etl sql python data modeling spark📋 Description
- Design and maintain robust data models across domains.
- Build end-to-end data transformations and pipelines (ELT/ETL).
- Enable real-time data processing for analytics and AI use cases.
- Unify data across systems with clean contracts and interfaces.
- Lead data architecture decisions and champion data quality.
- Collaborate with Analytics, Product, and Engineering teams.
🎯 Requirements
- 10+ years in data engineering or related software roles.
- Deep SQL expertise and data transformation frameworks; strong Python.
- Designing/maintaining data models (dimensional/relational).
- Proven pipelines from raw data to analytics and reporting layers.
- Experience integrating data across multiple systems and domains.
- Strong data quality, testing, observability, lifecycle management.
🎁 Benefits
- Impact patients’ lives at scale.
- Cross-functional collaboration with Analytics, Product, Finance, Ops, and Engineering.
- Equal opportunity employer; diverse and inclusive.
- Fast-growing healthcare company.
- Continuous learning culture.
- Collaborative cross-functional team.
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