Senior Data Engineer ID82548
Posted Updated 7
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Summary
Designs and maintains scalable data pipelines using Snowflake, Airflow, and dbt, ensuring high availability and governance for analytics workloads.
- Audit dbt code for performance and cost
- Build Snowflake data layering
- Design dynamic Airflow DAGs using Python
- Enforce data governance and access controls for PII
- Ensure zero downtime for downstream BI tools
- Implement automated testing and failure alerting
- Implement medallion architecture
- Maintain integration between Paradime and Airflow
- Manage integration and infrastructure changes
- Migrate ETL jobs to Airflow DAGs
- Set up automated error handling and recovery
Perks/Benefits:
- Annual learning budget
- Competitive compensation reviews
- Flexible hours
- Internal tech talks
- Mentorship
- People focused support
- Remote work
- Wellbeing programs