Senior Data Engineer
Tasks
- Build modular data models and reusable pipeline components
- Design build test deploy scalable data pipelines
- Design migrate and maintain Airflow workflows
- Document systems and improve reliability through postmortems
- Implement pipeline monitoring for failures and data quality
- Monitor pipeline SLAs and resolve failures
- Optimize warehouse performance and reduce BigQuery cost
- Own data platform initiatives end to end
- Participate in on call rotation and perform incident response
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Best practices | BigQuery | CI/CD | CI/CD best practices | Cause analysis | DBT | Data Modeling | Data Observability | Data Pipelines | Data Quality | ETL | Incident Response | Indexing | Kubernetes | Monitoring | Partitioning | Root Cause Analysis | Root cause | Schema Design
Education
N/A
Roles
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