Senior Data Engineer ID82548
Posted Updated 9
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Summary
Build and optimize data pipelines using Airflow, dbt, and Python to ensure reliable, zero-downtime data flows for BI and governance.
- Audit dbt code for performance and cost optimization
- Build dynamic Airflow DAGs with Python
- Enforce data governance and access controls
- Ensure zero downtime for downstream BI
- Establish failure recovery routines
- Harden pipeline reliability with automated testing
- Implement medallion architecture
- Manage Paradime and Airflow integration points
- Migrate ETL jobs to orchestrated Airflow DAGs
- Set up failure alerting and error handling
Perks/Benefits:
- Flexible hours
- Internal tech talks
- Learning budget
- Mentorship
- Remote work
- Well-being programs