Description
You will design and build data pipelines using Microsoft Fabric components.
Responsibilities
- Develop and optimize Lakehouse, Data Lake, and Delta Lake architectures.
- Build ETL/ELT workflows utilizing Fabric, Azure Data Factory, or Synapse.
- Create and optimize Power BI datasets, data models, and DAX calculations.
- Implement semantic models, incremental refresh, and Direct Lake/DirectQuery.
- Ensure data governance and security using Purview, RBAC, and AAD.
Required Skills
- Strong hands-on experience with Microsoft Fabric (Lakehouse, Pipelines, Dataflows, Notebooks).
- Expertise in Power BI, including DAX, modeling, and optimized datasets.
- Deep knowledge of the Azure Data Engineering stack (ADF, ADLS, Synapse, SQL).
- Proficiency in SQL and Python/PySpark.
- Experience with Delta Lake and Medallion architecture.
- Familiarity with data quality frameworks.
- Experience with Azure services like Event Hub and Functions.
- Knowledge of CI/CD practices.