About Role: We are looking for an experienced Data Engineer-Microsoft Fabric with 4+ years of experience in data engineering, analytics, and Microsoft Azure technologies. The ideal candidate should have hands-on expertise in Microsoft Fabric, building end-to-end data solutions, developing data pipelines, managing lakehouses and warehouses, and implementing scalable data integration and transformation processes.

Key Responsibilities
• Design, develop, and implement end-to-end data solutions using Microsoft Fabric.
• Build and manage data pipelines using Microsoft Fabric Data Factory.
• Work extensively with Fabric Lakehouse, Data Warehouse, and OneLake.
• Develop and optimize ETL/ELT workflows for data ingestion and transformation.
• Work with PySpark, Spark SQL, Python, and SQL for data processing.
• Implement and manage Delta Lake architecture and data models.
• Develop and maintain semantic models and Power BI reports.
• Work with Direct Lake, Import, and DirectQuery connectivity modes.
• Optimize data pipelines, queries, and overall platform performance.
• Implement data security, governance, and access management.
• Collaborate with business analysts, data architects, and cross-functional teams.
• Troubleshoot data integration issues and ensure data quality and reliability. Required Skills &

Qualifications:




• 4+ years of experience in Data Engineering, Data Analytics, or related technologies.
• Strong hands-on experience with Microsoft Fabric.
• Practical experience with:
• Microsoft Fabric Data Factory
• Fabric Lakehouse and Warehouse
• OneLake
• Notebooks and Spark
• Dataflows Gen2
• Microsoft Fabric Pipelines
• Semantic Models
• Robust knowledge of SQL, Python, and PySpark.
• Experience with Azure Data Factory (ADF), Azure Synapse Analytics, or Azure Databricks.
• Understanding of ETL/ELT processes and data warehousing concepts.
• Knowledge of Delta Lake, data modeling, and data transformation.
• Experience with Power BI and DAX will be an added advantage. Good to have
• Microsoft Fabric certification (DP-600 / DP-700).
• Experience in implementing end-to-end Microsoft Fabric projects.
• Knowledge of Azure Data Lake Storage (ADLS Gen2).
• Experience with CI/CD, Git, and deployment pipelines.
• Understanding of data governance and security frameworks. Preferred Candidate Profile
• Candidates who have independently developed and deployed end-to-end Microsoft Fabric solutions.
• Strong problem-solving and analytical skills.
• Ability to work independently and collaborate with technical teams.
• Good communication and client-handling skills.

📌 Microsoft Fabric Data Engineer (Nagpur)
🏢 Click2Cloud
📍 Nagpur