Data Engineer, Enterprise Data, Analytics and Innovation
Tasks
- Build data infrastructure
- Design data schemas and models
- Develop ETL pipelines
- Implement data governance and security
- Integrate new data sources
- Manage data ingestion and quality
- Monitor system performance and troubleshoot issues
- Participate in code reviews and CI/CD practices
- Prototype and deploy analytics and predictive tools
Perks/Benefits
- 401k plan
- Flexible time off
- Health benefits
- Parental leave
- Remote work
- Volunteer time off
- Wellness programs
Skills/Tech-stack
Airflow | DBT | Data Governance | Data Modeling | Data Security | Data pipeline | Docker | ETL | Git | PySpark | Python | SQL | Spark
Education
Roles
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