Senior Data Engineer ID82548
Summary
Designs, tests, and optimizes data pipelines using Airflow, Snowflake, and dbt to ensure reliable, low-cost data flows for analytics and BI tools.
- Audit dbt code for performance and cost
- Build automated testing and failure alerting
- Build dynamic scalable Airflow DAGs with Python
- Ensure data governance and access controls for PII pipelines
- Ensure no downtime for downstream BI tools
- Establish error handling alerting and recovery routines
- Implement Medallion architecture in Snowflake
- Maintain integration points between Paradime and Airflow
- Migrate ETL jobs into Airflow DAGs
- Optimize pipeline execution paths for compute cost
Perks/Benefits:
- Annual learning budget
- Flexible hours
- Internal tech talks
- Local well being programs
- Mentorship
- Remote work