Data Engineer I
Tasks
- Apply data governance best practices
- Build Python data services with data processing libraries
- Collaborate with data scientists and analysts
- Develop API endpoints and microservices
- Develop ETL workflows
- Drive Agile iterative improvements
- Implement data validation and quality checks
- Implement logging monitoring and performance tuning
- Integrate APIs and services in Microsoft ecosystem
- Manage Azure data solutions
- Optimize data pipelines for performance and scalability
- Orchestrate workflows with Azure Data Factory
- Translate technical specifications into code and design documents
Perks/Benefits
Skills/Tech-stack
API Development | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure SQL | Data Factory | Data Governance | Data Lake Storage | Data Validation | ETL | Fault Tolerance | Logging | Microservices | Monitoring | NumPy | Open Source | Pandas | Performance Tuning | PyTorch | Python | SQL | Schema Enforcement | Scikit-learn | TensorFlow
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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