Microsoft Fabric Data Engineer specialized in designing, building, and managing end -to -end data analytics solutions using the Microsoft Fabric SaaS platform. Should be able to handle operations like data ingestion, transformation, and storage using tools like Lakehouse, Data Factory and Power BI Reporting
Key Responsibilities & Skills
Data Ingestion & Transformation: Utilizing Data Factory pipelines, Mirrored DB and Dataflows Gen2 to move and transform data. Creating and managing lakehouses, implementing Delta Lake tables for structured and unstructured data.
Power BI Report development: Proficient in developing complex dashboards with analytical and real time requirements.
Programming Proficiencies: Advanced SQL and DB concepts, Using Python, PySpark notebooks, Spark SQL, T -SQL, and Kusto Query Language (KQL) for data manipulation and real -time analytics.
Performance & Security: Monitoring, optimizing data pipelines, and implementing security measures like data masking and role -level security (RLS).
Governance & DevOps: Implementing CI/CD using Git integration and deploying workspaces. Proficient in PowerShell, Puppet scripting languages
Monitoring and Administration: Power BI Service and Azure administration, Subscription and Resource management, Cost Management.
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