PL Ops - Data Engineer (Worcester or Remote)
Tasks
- Build and enhance ADF ETL pipelines
- Coordinate upstream dependency readiness and orchestration
- Create operational runbooks and documentation
- Establish SDLC practices for data engineering
- Implement data validation and reconciliation checks
- Implement incremental load and backfill strategies
- Monitor pipeline execution and triage incidents
- Optimize SQL tables views for refresh performance
- Own ADF pipeline reliability and health
- Perform root cause analysis and preventative controls
Perks/Benefits
- 401k match
- Career development and coaching
- Company-Paid Holidays
- Flexible work arrangements
- Medical, Dental, Vision, Life, & Disability insurance
- On site medical wellness center
- PTO
- Tuition reimbursement
Skills/Tech-stack
APIs | Alerting | Automation | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Blob Storage | CI/CD | Data Factory | Data Lake Storage | Data Modeling | Data Validation | ELT | ETL | Git | Monitoring | Notebooks | Power BI | Powershell | Python | Release Management | SFTP | SQL Server | T-SQL
Education
Roles
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