Senior Data Engineer ID82548
Posted Updated 7
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Summary
Build and maintain scalable data pipelines using Airflow, dbt, and Python to ensure reliable BI and support future AI semantic layers.
- Audit dbt code for performance and cost
- Build automated testing and failure alerting
- Build dynamic Airflow DAGs with Python
- Enforce data governance and access controls
- Ensure zero downtime for downstream BI
- Establish error handling and failure recovery
- Implement medallion architecture
- Maintain integration between Paradime and Airflow
- Migrate ETL jobs into Airflow DAGs
- Support future AI semantic layers
Perks/Benefits:
- Annual learning budget
- Collaborative culture
- Flexible hours
- Mentorship
- People focused support
- Remote work
- Techtalks
- Well-being programs