Mid-Level Data Engineer
Tasks
- Apply data governance best practices
- Build data services with Pandas
- Build data services with PyTorch
- Build data services with TensorFlow
- Design Workflow Orchestration
- Develop API endpoints and microservices
- Develop production grade ETL workflows
- Implement logging and monitoring
- Implement schema enforcement and data validation
- Ingest, transform, and validate data
- Perform performance tuning
- Support Azure Data Lake Storage
- Support Azure SQL
Perks/Benefits
Skills/Tech-stack
API Development | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure SQL | Data Factory | Data Governance | Data Lake Storage | Data Quality | Data Validation | ETL | Logging | Microservices | Microsoft Fabric | Monitoring | NumPy | Pandas | Performance Tuning | PyTorch | Python | SQL | Schema Enforcement | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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