MS Fabric Data Engineer_Panindia

2 weeks ago


Bengaluru, India Trigent Software Private Limited Full time

Total-6 Years Microsoft Fabric Core: Deep proficiency in Fabric architecture, specifically Data Factory pipelines, Dataflows Gen2, and Lakehouse/OneLake storage strategies. Migration Expertise: Proven experience migrating legacy ETL processes (e.g., from Azure Data Factory, SSIS, or on-prem SQL) into the Microsoft Fabric ecosystem. Scripting & Transformation: Expert-level coding in PySpark and Python for Fabric Notebooks to handle complex data transformations and enrichment. Power BI Backend: Ability to build robust Semantic Models and Power BI Datasets directly on top of OneLake (using Direct Lake mode where applicable) for high-performance reporting. SQL Proficiency: Advanced SQL skills for data modeling, star schema design, and querying within the SQL Endpoint of the Lakehouse. Azure Ecosystem: Strong grasp of Azure Data Lake Storage (ADLS Gen2) and security governance (Entra ID/ACLs). Key Responsibilities (The "Ask") Architect & Migrate: Lead the backend migration of data from diverse sources into a unified Fabric Lakehouse architecture. Pipeline Optimization: Re-engineer and optimize data pipelines to ensure seamless data ingestion and transformation for high availability. Model for Reporting: Design purpose-driven data views and efficient Star Schemas specifically tailored to support rapid Power BI report rendering. Cross-Functional Support: Bridge the gap between backend data engineering and frontend reporting by ensuring data quality and consistency for the BI team. Mandatory Skills- Ms Fabric,Python/Pyspark,Sql,Power bi


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