Data Engineer
Tasks
- Apply CI/CD and version control
- Build governed data solutions
- Collaborate with data architecture team
- Design ETL/ELT pipelines
- Develop in Azure Synapse Analytics
- Develop in Microsoft Fabric
- Develop scalable data-driven solutions
- Document technical designs and data flows
- Enforce access controls
- Gather requirements from stakeholders
- Implement medallion architecture
- Implement monitoring and alerts
- Improve data engineering practices
- Maintain SQL Server data pipelines
- Maintain data lineage practices
- Manage metadata management
- Optimize data pipeline performance
- Perform unit testing
- Set up data reconciliation processes
- Support data governance initiatives
- Support hybrid data environments
Perks/Benefits
- N/A
Skills/Tech-stack
ADLS | Alerts | Automated Deployment | Azure Data | Azure Data Factory | Azure SQL | Azure Synapse | Azure Synapse Analytics | C# | CI/CD | Data Factory | Data Governance | Data Lineage | Data Pipelines | Data Quality | Data Validation | Databricks | ELT | ETL | Lakehouse | Logging | Medallion Architecture | Microsoft Fabric | Monitoring | Notebooks | PySpark | Python | SQL | SQL Server | Synapse Analytics | Version control | Warehouse
Education
N/A
Roles
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