Senior Data Engineer
Tasks
- Architect data pipelines
- Build feature pipelines for machine learning
- Contribute to engineering standards and documentation
- Design scalable data models
- Ensure pipeline reliability and monitoring
- Implement ELT/ETL frameworks
- Implement data quality frameworks
- Lead cloud data platform migrations
- Lead data governance and metadata management
- Manage data access control
- Provide code reviews and mentoring
- Support model development and deployment
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Agile | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Catalog | Data Factory | Data Governance | Data Lake | Data Lake Storage | Data Modeling | Data Quality | Data mesh | Databricks | Dimensional Modeling | ELT | ETL | Feature Engineering | HIPAA | Lineage Tracking | Machine Learning | Medallion Architecture | Metadata Management | Microsoft Purview | PySpark | Python | SQL | Synapse Analytics
Education
N/A
Roles
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