Senior Data Engineer (Azure)
Tasks
- Build and maintain Azure data lakes
- Build secure orchestration workflows
- Collaborate with stakeholders on data solutions
- Design end to end data pipelines in Azure
- Develop data ingestion patterns
- Develop transformation logic
- Enforce data engineering standards and governance
- Implement authentication and access control
- Integrate with Azure Analysis Services
- Monitor troubleshoot and improve pipelines
- Optimize Azure Synapse Analytics environments
- Support platform adoption knowledge transfer and handover
Perks/Benefits
- Exposure to global client engagements
- Fun budget for team events
- Learning and development opportunities
- Remote work flexibility
- Training opportunities
Skills/Tech-stack
Active Directory | Analysis Services | Azure Active Directory | Azure Analysis | Azure Analysis Services | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | Blob Storage | CI/CD | Cosmos DB | Data Factory | Data Lake | Data Lake Storage | Data Modelling | Data Warehouse | ELT | ETL | Microsoft Azure | Power BI | Python | SQL | SQL Database | Semantic layer | Synapse Analytics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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