Data Engineer (with Microsoft Stack)
Tasks
- Apply version control for code and standards
- Build data ingestion and transformation jobs
- Collaborate with data scientists analysts and architects
- Design data pipelines
- Design data schemas and dimensional models
- Document data architectures and workflows
- Implement data partitioning strategies
- Maintain ETL and ELT processes
- Optimize SQL queries and indexing
- Use Spark notebooks for large scale transformations
Perks/Benefits
- Conference access
- Home office support
- Official certifications access
- Remote work flexibility
- Training budget
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure DevOps | Azure Functions | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | Data Factory | Data Lake | Database Modeling | Dataflows | Dimensional Modeling | ELT | ETL | Git | Indexing | Microsoft Fabric | Partitioning | Powershell | Python | Relational Database | Relational database modeling | SQL | SQL Database | SQL Server | SSIS | Spark | Synapse Analytics
Education
N/A
Roles
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