Senior Data Engineer ID82548
Tasks
- 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
Skills/Tech-stack
AWS S3 | Apache Airflow | Automated testing | CI/CD | DBT | Data Modeling | Data Pipelines | Docker | Failure Alerting | Git | GitHub Actions | Infrastructure as Code | Python | RBAC | SQL | Snowflake | Terraform | “as-code”
Education
N/A
Roles
Regions
Countries
States
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