Senior Data Engineer
Tasks
- Apply pipeline architecture coding standards and ETL ELT best practices
- Build reusable ingestion transformation and reconciliation frameworks
- Collaborate with reporting and business teams to deliver curated datasets
- Conduct root cause analysis for recurring incidents
- Deploy changes through CI CD
- Design build maintain production data pipelines on Databricks
- Develop ETL and ELT processes
- Document workflows standards and runbooks
- Ensure data quality, consistency, and scalability
- Monitor alert and respond to incidents for data workloads
- Perform validation and change request lifecycle
- Support operational health of production data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Alerting | CI/CD | Cause analysis | Data Pipelines | Databricks | ELT | ETL | Git | Incident Response | Infrastructure as Code | Monitoring | PySpark | Python | Root Cause Analysis | Root cause | SQL | “as-code”
Education
Roles
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