Azure Data Engineer
Tasks
- Build ETL/ELT pipelines
- Design data platforms on Azure
- Develop data models
- Enable Power BI datasets and semantic models
- Implement CI CD pipelines with DevOps practices
- Implement lakehouse and medallion architecture
- Integrate data from enterprise systems
- Lead cloud data modernization and migration
- Perform performance tuning and troubleshooting
- Process structured and unstructured datasets
- Set up data quality governance lineage and security
- Support production data pipeline monitoring and maintenance
Perks/Benefits
Skills/Tech-stack
3NF | API Management | Agile | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure Functions | Azure Integration | Azure Integration Services | Azure Resource | Azure Resource Manager | Azure Resource Manager Templates | Azure SQL | Azure SQL Data | Azure SQL Data Warehouse | Azure SQL Database | Bicep | CI/CD | Data Factory | Data Lake Storage Gen2 | Data Warehouse | Databricks | Dimensional Modeling | Event Grid | GitHub | Infrastructure as Code | Integration Services | JSON | Jenkins | Lakehouse | Logic Apps | Medallion Architecture | Microsoft Fabric | Microsoft Purview | OData | Power BI | PySpark | Python | REST APIs | Resource Manager Templates | SQL | SQL Data Warehouse | SQL Database | Service Bus | Snowflake Schema | Spark SQL | Star Schema | Terraform | Version control | XML | “as-code”
Education
Roles
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