Senior Data Engineer ID82548
Posted Updated 8
views
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 automated testing and failure alerting
- Build dynamic Airflow DAGs with Python
- Enforce data governance and access controls for PII
- Ensure zero downtime for downstream BI
- Establish error handling and failure recovery routines
- Implement medallion architecture
- Maintain integration points between Paradime and Airflow
- Maintain pipeline reliability during infrastructure changes
- Migrate ETL jobs to Airflow DAGs
Perks/Benefits:
- Annual learning budget
- Collaborative culture
- Flexible hours
- Internal tech talks
- Mentorship
- People focused support
- Remote work
- Well-being programs