Senior Engineer - Data
Tasks
- Apply data masking and encryption
- Build Python based APIs on Azure Functions
- Build and operationalize data solutions on Azure
- Collaborate with business for requirements and query resolution
- Design and implement data ingestion and transformation
- Develop Azure Logic Apps
- Develop Power BI data visualization
- Develop PySpark jobs
- Implement CI/CD pipelines using Azure DevOps
- Implement lakehouse data warehouse solutions
- Implement secure access using Azure Key Vault and managed identities
- Migrate on-premise data warehouses to Azure
- Perform capacity planning and performance tuning
- Support testing and deployment across SDLC
Perks/Benefits
- N/A
Skills/Tech-stack
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 Pipeline | Azure SQL | Azure SQL Database | CI/CD | Data Factory | Data Flows | Data Lake Storage Gen2 | Data Warehouse | Data masking | Dimensional Modeling | Encryption | Key Vault | Lakehouse | Logic Apps | Managed Identities | Microsoft Azure | Power BI | PySpark | Python | Relational modeling | SQL Database | Service principals
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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