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Azure Data Engineer @ Capgemini

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Capgemini  Azure Data Engineer

Job Description

Your Role as Azure Data engineer

  • Design, develop, and maintain data pipelines using Azure Data Factory, Azure Databricks
  • Understanding of Data Governance principles and practices
  • Implement ETL solutions to integrate data from various sources into Azure Data Lake and Data Warehouse
  • Hands-on experience with SQL, Python, PySpark for data processing Expertise in building Power BI dashboards and reports
  • Strong DAX and Power Query skills
  • Experience in Power BI Service, Gateways, and embedding reports
  • Develop Power BI datasets, semantic models, and row-level security for data access control

If you have Azure Microsoft Fabric then below will be Job details,

  • Design, develop, and maintain data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse
  • Strong proficiency in Microsoft Fabric and related technologies
  • Understanding of Data Governance principles and practices
  • Certifications: Fabric DP-700 & DP-600 certification is preferred
  • Implement ETL solutions to integrate data from various sources into Azure Data Lake and Data Warehouse
  • Strong DAX and Power Query skills
  • Experience in Power BI Service, Gateways, and embedding reports
  • Develop Power BI datasets, semantic models, and row-level security for data access control

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Capgemini
Location(s): Hyderabad

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Keyskills:   Azure Data Factory Pyspark Azure Databricks Azure Synapse Python

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