Microsoft Fabric (Azure Subscription)
Infosys · Bengaluru · onsite · Posted 37d ago
Not disclosed3–5 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Technology->Cloud Platform->Azure Devops,Technology->Microsoft Technologies->Microsoft Fabric
Microsoft Fabric Development Design and implement solutions using Microsoft Fabric components: OneLake Data Factory (Fabric pipelines) 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 3–5 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
Microsoft Fabric Development Design and implement solutions using Microsoft Fabric components: OneLake Data Factory (Fabric pipelines) 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 3–5 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
Sourced from foundit
Skills
Azure Synapse AnalyticsAzure DevopsApache SparkScalaOneLakeAzure Data ServicesAdls Gen2Microsoft FabriceltlakehouseDatafactoryData LakeNotebooksPysparkData EngineeringPower BiSQLData WarehousingETLData Pipeline Integration
About Infosys

Infosys
IT Services & Consulting
323.6k+
employees
1981
45 years old
Bengaluru/Bangalore, Karnataka
India
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Infosys is a global leader in next-generation digital services and consulting.
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