Data Engineer
Tasks
- Build ETL pipelines
- Coordinate with business stakeholders
- Develop batch and streaming data pipelines
- Document and prioritize data defects
- Ensure data quality
- Implement data migration
- Maintain data warehouse solutions
- Manage GCP data services
- Participate in Agile scrum and kanban
- Perform test automation and deployments
- Report project risks issues and status
- Support data governance
Perks/Benefits
- 401k retirement savings plan
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
Skills/Tech-stack
Agile | Apache Airflow | Batch Processing | Cloud Dataflow | Cloud Storage | Continuous Deployment | Continuous integration | Data Governance | Data Migration | Data Quality | Data Warehousing | ETL | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud Storage | Kanban | PySpark | Python | SQL | Scrum | Streaming processing | Test automation | UnixLinux
Education
N/A
Roles
Regions
Countries
States
Cities
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