Senior Engineer - Data
Tasks
- Apply data masking and encryption
- Build CI/CD pipelines with Azure DevOps
- Build Python APIs on Azure Functions
- Build data solutions on Azure
- Design ingest and transform pipelines
- Develop Power BI dashboards
- Develop PySpark jobs
- Develop data workflows with Azure Logic Apps
- Execute SDLC testing and deployment
- Gather requirements and resolve data queries
- Implement lakehouse and data warehouse architectures
- Migrate on-premise data warehouses to Azure
- Model relational and dimensional data
- Secure Azure data using Key Vault and managed identities
- Tune ADF and Databricks pipeline performance
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Azure Data | Azure Data Factory | Azure Data Flows | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure DevOps | Azure Functions | Azure Key Vault | Azure Logic | Azure Logic Apps | Azure SQL | CI/CD | Data Factory | Data Flows | Data Lake Storage Gen2 | Data Warehouse | Data encryption | Data masking | Dimensional Modeling | Key Vault | Lakehouse | Logic Apps | Managed Identities | Microsoft Azure | Power BI | PySpark | Relational modeling | Service principals
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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