Senior Data Engineer ID82548
Tasks
- Audit dbt code for performance and cost optimization
- Build Airflow DAGs for orchestrating ETL
- Create automated testing and failure alerting
- Ensure zero downtime for downstream BI
- Establish error handling and failure recovery routines
- Implement Medallion architecture in Snowflake
- Implement data governance and access controls for PII
- Maintain integration between Paradime and Airflow
- Migrate scheduled ETL jobs to Airflow DAGs
- Translate dbt transforms into dynamic Airflow DAGs
Perks/Benefits
- Annual learning budget
- Flexible hours
- Internal tech talks
- Mentorship
- People focused support
- Remote work
- Well-being programs
Skills/Tech-stack
AWS S3 | Apache Airflow | Automated testing | CI/CD | CloudFormation | DBT | Data Modeling | Docker | Dynamic Task Mapping | Failure Alerting | Git | GitHub Actions | Infrastructure as Code | Python | RBAC | SQL | Snowflake | Task Mapping | Terraform | “as-code”
Education
N/A
Roles
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