What are we looking for:
Primary Technical Proficiency:
- SQL Server Product Suite: Strong expertise in SQL Server Management Studio (SSMS), SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS)
- Microsoft Azure Cloud Resources: Solid experience with Azure Data Factory (ADF), Logic Apps, and CI/CD practices for smooth data and process integration
- Python and PySpark: Proficient in Python and PySpark for complex data processing and analysis
Main Technologies:
- Azure Databricks and Spark Ecosystem: Strong knowledge of Azure Databricks, Spark, Spark SQL, PySpark, Delta Tables, and Lakehouse architecture
- Data Integration with Azure Data Factory: Familiarity with data orchestration and transformation pipelines
Nice to Have:
- Data Lake and Lakehouse Architecture: Experience with Azure Data Lake and a foundational understanding of the Lakehouse paradigm is a plus, with an eagerness to learn more
- DAX and Power BI for Data Visualization: Background in DAX for data modeling and Power BI for enhanced data insights
- Azure Fabric and ADF Dataflows: Experience with Azure Fabric for integration and ADF dataflows to enable streamlined data transformations