Design and implement data solutions using Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Power BI). Build and manage data pipelines for ingestion, transformation, and orchestration. Work with Azure Subscription services such as Azure Data Lake, Azure SQL, and Azure Synapse components within Fabric. Develop and optimize SQL queries and data models. Perform data transformation using Notebooks (PySpark / Python) and Dataflows Gen2. Ensure data quality, governance, and security using Fabric capabilities. Integrate data from multiple sources (APIs, databases, files, streaming). Collaborate with business and analytics teams to deliver reporting solutions. Monitor and troubleshoot pipeline and performance issues.
Additional Responsibilities:
Exposure to Power BI for reporting and visualization Experience with CI/CD in Azure DevOps Knowledge of data governance, security, and access control Familiarity with real-time/streaming pipelines Understanding of Delta Lake / Lakehouse architecture
Technical and Professional Requirements:
Hands-on experience with Microsoft Fabric (Lakehouse / Warehouse / Data Factory) Strong SQL and data query optimization skills Experience with Azure ecosystem (ADLS, Azure SQL, Synapse, ADF concepts) Knowledge of data engineering concepts (ETL/ELT, pipelines, orchestration) Experience with PySpark / Python / Notebooks Understanding of data modeling and analytics architecture
