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 patterns.
- Ensure data governance and security using Purview, RBAC, and AAD.
Required Skills
- 10+ years of 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).
- Strong proficiency in SQL and Python/PySpark.
- Experience implementing Delta Lake and Medallion architecture.
- Familiarity with CI/CD practices using Azure DevOps or GitHub.
Preferred Skills
- Azure Certifications (DP-203, PL-300, Fabric Analytics Engineer).
- Experience with Databricks.