Data Engineer (Python/PySpark/AWS)
Tasks
- Automate testing and deployment
- Design batch processing workflows
- Design data architecture solutions
- Design streaming workflows
- Develop Python and PySpark data processing
- Develop data models and schema
- Ensure data quality and integrity
- Implement ETL pipelines
- Integrate data from multiple sources
- Maintain CI/CD pipelines
Perks/Benefits
Skills/Tech-stack
AWS | Batch Processing | CI/CD | Data Modeling | Data Security | Data Warehousing | Docker | ETL | Git | GitHub Actions | Jenkins | Kubernetes | PySpark | Python | Streaming Data | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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