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About the role
Educational Requirements Bachelor of Engineering,BTech,BCA,BSc,MTech,MSc,MCA Service Line Data Analytics Unit Responsibilities Microsoft Fabric Development Design and implement solutions using Microsoft Fabric components: OneLake Data Factory Data Engineering (Lakehouse, Notebooks) Data Warehousing Power BI Build and maintain Lakehouse and Warehouse architectures Data Pipeline Integration Develop data ingestion pipelines from multiple sources (on-prem, cloud, APIs) Implement ETL/ELT workflows using Fabric Data Factory Orchestrate workloads using pipelines and triggers Data Engineering Processing Work with Spark (PySpark/Scala) notebooks in Fabric Transform large datasets using distributed computing Manage structured and unstructured data Analytics Reporting Integrate Power BI for data visualization and reporting Build semantic models and datasets Enable self-service BI capabilities Azure Subscription Management Deploy and manage resources within Azure subscription Handle access control (IAM), governance, and security Monitor performance and optimize costs Performance Optimization Optimize queries and storage in Lakehouse/Warehouse Implement partitioning and data modeling strategies Ensure high performance and scalability Core Skills 35 years of experience in data engineering / Azure data services Hands-on experience with Microsoft Fabric (or Synapse + Data Factory equivalent) Strong SQL skills Experience with ETL/ELT pipelines Fabric / Azure Stack Microsoft Fabric Azure Data Factory (or Fabric Pipelines) Azure Synapse Analytics Data Lake (ADLS Gen2 / OneLake) Power BI Programming Proficiency in Python / PySpark / SQL Familiarity with Spark-based processing Technical and Professional Requirements: Technology->Cloud Platform->Azure Devops Technology->Microsoft Technologies->Microsoft Fabric Preferred Skills: Technology->Microsoft Technologies->Microsoft Fabric Technology->Cloud Platform->Azure Devops
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