Experienced – Azure Data Engineer Synapse
Tasks
- Analyze business requirements and translate into technical solutions
- Build data integration and transformation pipelines
- Design and develop data ingestion pipelines
- Develop relational and dimensional data models
- Document data architectures and data flows
- Implement Medallion Architecture and Lakehouse patterns
- Implement data governance for data platforms
- Implement data quality, monitoring, and alerting
- Set up CI CD pipelines with Git and Azure DevOps
- Write PySpark and Spark SQL transformations optimized for performance
- Write T-SQL transformations optimized for performance
Perks/Benefits
Skills/Tech-stack
AI Foundry | Alerting | Azure AI | Azure AI Foundry | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure Key Vault | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | Blob Storage | CI/CD | Copilot Studio | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Modeling | Data Quality | Dedicated SQL Pool | Fabric | Git | Key Vault | Managed Identity | Microsoft Azure | Microsoft Purview | Monitoring | Postman | Power BI | PySpark | Python | REST APIs | SQL | SQL Database | SQL Pool | Serverless SQL | Serverless SQL Pool | Spark Pool | Spark SQL | Synapse Analytics | T-SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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