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.

Key Skills

Education

Any Gradute