Senior Azure Data Engineer

Role & responsibilities

Sr Data Engineer

using Microsoft Fabric tools, including Data Pipelines, Azure Data Lake Storage, One Lake, Data

Warehouses, and Power BI.

• The position works closely with stakeholders to ensure data accuracy, accessibility, and effective visualization for business intelligence needs
• Develop and maintain scalable ETL/ELT pipelines on Microsoft Azure, ensuring adherence to industry's best practices and alignment with business objectives
• Design and orchestrate data workflows using Azure Data Factory, ensuring efficient data processing and management
• Experience with data Lakehouse architecture and managing data storage, access, and analytics.
• 5+ years of experience in data engineering with a focus on Azure cloud technologies.
• Expertise in Microsoft Azure data services, including Azure Data Factory, Azure Fabric, Azure SQL Database, and Azure Databricks.
• Strong knowledge of data integration, transformation, and orchestration techniques.

Education

• UG: B. Tech/B.E. in Computers
• PG: M. Tech in Computers

Key Skills

• Azure Data Factory
• Azure Data Fabric
• Azure Databricks
• Azure Data Services
• Azure SQL Database
• Azure Data Lake
• Azure Logic Apps
• ETL.
• Azure DevOps