Senior Engineer - Data
Tasks
- Apply data masking and encryption
- Build Azure DevOps CI/CD pipelines
- Build Python APIs on Azure Functions
- Build data solutions using Azure
- Collaborate across SDLC for deployment
- Design ingestion and transformation pipelines
- Develop Azure Logic Apps integrations
- Develop Power BI data visualizations
- Develop PySpark transformations
- Gather requirements with business stakeholders
- Implement data ingestion transformation and testing
- Implement lakehouse and data warehouse architectures
- Migrate on-premise data warehouses to Azure
- Model relational and dimensional data
- Secure Azure data with Key Vault and managed identities
- Tune performance for ADF and Databricks pipelines
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 | Azure SQL Database | CI/CD | Capacity Planning | Data Factory | Data Lake Storage Gen2 | Data Warehouse | Data masking | Dimensional Modelling | Encryption | Key Vault | Lakehouse | Logic Apps | Managed Identity | Microsoft Azure | Performance Tuning | Power BI | PySpark | Python | Relational Modelling | SQL Database | Service Principal
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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