Senior Data Engineer
Tasks
- Build analyst self service access
- Collaborate with data scientists for machine learning infrastructure
- Create data dictionaries and documentation
- Design Azure Data Architecture
- Develop ELT/ETL pipelines
- Develop Python data engineering solutions
- Evaluate AI development tools and data engineering technologies
- Implement data lakes and data warehouses
- Implement logging, monitoring, error handling
- Manage source control and CI CD practices
- Optimize ingestion processing transformation storage
- Recommend improvements for scalability reliability security cost
Perks/Benefits
Skills/Tech-stack
Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Machine Learning | Azure SDKs | Azure Storage | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Lake Storage | Data Lakes | Data Warehousing | ELT | ETL | Git | Infrastructure as Code | Machine Learning | Pandas | Parquet | Polars | PySpark | Python | REST APIs | SQL | Synapse Analytics | T-SQL | “as-code”
Education
Roles
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