Senior Data Engineer
Tasks
- Apply AI tools for data quality and anomaly detection
- Build and operate production data pipelines
- Contribute to quarterly data product releases
- Create data quality tests
- Design pipeline automation and recovery
- Develop observability and monitoring for pipelines
- Ingest and transform clinical data at scale
- Lead Data platform architecture
- Mentor data engineers through code review
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | DBT | Data Observability | Data Quality | ELT | ETL | Python | Snowflake
Education
N/A
Roles
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