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.
- Robust 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
- Strong 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