GCP Data Engineer
Tasks
- Build and optimize ETL/ELT workflows
- Collaborate in architecture discussions and recommend best practices
- Design scalable data pipelines on Google Cloud Platform
- Develop data processing solutions with Python
- Ensure data quality consistency security and governance
- Implement automated testing logging monitoring and documentation
- Integrate data from multiple sources into centralized platforms
- Monitor troubleshoot and enhance data pipelines
- Optimize storage transformation and retrieval for performance and cost
- Provide clean structured datasets for reporting and machine learning
- Support deployment CI CD and infrastructure automation
- Use NumPy for numerical and analytical computations
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Automation | CI/CD | Cloud platform | Data Governance | Data Modeling | Data Processing | Data Quality | Data Warehousing | Distributed data | Distributed data processing | ELT | ETL | Git | Google Cloud | Google Cloud Platform | NumPy | Python | SQL | Workflow Orchestration
Education
N/A
Roles
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