Fabric Data Engineer

Job Responsibilities:

• Analyze, Design and build modern data solutions using Microsoft Fabric.
  
• Explore exiting implementation and determine the impact of new change on existing applications.
  
• Extract Transform and Load data from different sources to Microsoft Fabric OneLake/Lakehouse/Warehouse.
  
• Create Notebooks, Dataflow Gen2 & pipelines in Microsoft Fabric.
  
• Create semantic models and write relational database queries
  
• Develop and deploy comprehensive data analytics solutions in Microsoft Fabric, ensuring scalability and performance.
  
• Utilize deep knowledge of Lakehouse architecture to manage and store vast amounts of structured and unstructured data efficiently.
  
• Write clean, efficient, and optimized Python code in Notebooks to perform complex data transformations and manipulation tasks.
  
• Work with PySpark to handle and process large volumes of data, ensuring optimal performance in Spark environments.
  
• Design, develop, and implement end-to-end Power BI solutions on Microsoft Fabric, including dashboards, reports, and data visualizations.
  
• Leverage knowledge of CI/CD pipelines in Azure DevOps to automate deployment processes and ensure smooth integration of solutions into production environments.
  
• Create and manage ETL pipelines in Microsoft Fabric to streamline data processing, extraction, transformation, and loading across various data sources.
  
  
  
  

Requirements

• Azure Date Lake, Data Factory, Azure Storage
  
• Azure SQL Database
  
• Azure DevOps, Power BI
  
• SQL Server 2019, SQL Server 2017, SQL Server 2016
  
• Analytic Problem Solving
  
• Having experience in Microsoft Fabric.
  
• Excellent communication skills.
  

Qualification:

• BSCS in Computer Science
  
• 3 - 4 years of experience
  
• Certification in Azure is a plus
  
• Certification in Microsoft Fabric is plus
  
• Having experience in Insurance domain is plus.