Senior Engineer - Data
Tasks
- Apply data masking and encryption practices
- Build data engineering solutions on Azure
- Collaborate with business for requirements and issue resolution
- Design and implement data ingestion and transformation
- Develop Python based APIs on Azure Functions
- Develop data visualizations with Power BI
- Implement CI/CD pipelines with Azure DevOps
- Implement data lakehouse and data warehouse architectures
- Migrate on-premise data warehouses to Azure
- Secure data using Azure Key Vault and managed identities
- Support end to end SDLC with testing and deployment
- Tune data pipeline performance and plan capacity
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Data | Azure Data Factory | 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 Ingestion | Data Lake Storage Gen2 | Data Lakehouse | Data Transformation | Data Warehouse | Data encryption | Data masking | Dimensional Modeling | Key Vault | Logic Apps | Managed Identity | Microsoft Azure | Power BI | PySpark | Python | Relational modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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