Data Engineer (Python/PySpark/Apache Spark)
Tasks
- Automate testing and deployment
- Build Spark data processing jobs
- Create CI/CD pipelines
- Design data architecture
- Develop ETL pipelines
- Implement batch workflows
- Implement streaming workflows
- Integrate data sources
- Monitor data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Azure | Batch Processing | Containerization | Data Modeling | Data Quality | Data Security | Data Warehousing | Data integration | Distributed Systems | Docker | ETL | Git | GitHub Actions | Google Cloud | Jenkins | Kubernetes | PySpark | Python | Schema Design | Streaming
Education
Roles
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