Mid-Level Data Engineer
Tasks
- Apply data governance best practices
- Build Python data services with Pandas and machine learning libraries
- Collaborate with data scientists and governance teams
- Develop API endpoints and microservices for analytics and ML interoperability
- Develop production ETL workflows
- Implement logging monitoring and performance tuning
- Implement schema enforcement and data quality checks
- Ingest transform and validate structured and unstructured data
- Orchestrate workflows with Azure Data Factory or Microsoft Fabric
- Support Azure Data Lake Storage and 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 Lake Storage | ETL | Microservices | Microsoft Fabric | NumPy | Pandas | PyTorch | Python | SQL | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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