About Position:

We are looking for an experienced Senior Microsoft Fabric Data Engineer to design, develop, and optimize enterprise-scale data platforms using Microsoft Fabric and Azure Data Services. The ideal candidate will have strong expertise in Microsoft Fabric, PySpark, SQL, Data Engineering, and modern cloud-based analytics architectures. You will play a critical role in building scalable data solutions that support reporting, analytics, AI/ML, and business intelligence initiatives across the organization.

• Role: Senior Microsoft Fabric Data Engineer
• Location: All Persistent Locations
• Experience: 8 to 12 Years
• Job Type: Full time Employment

What You'll Do:

• Design, develop, and maintain scalable data solutions using Microsoft Fabric services including Lakehouse, OneLake, Data Warehouse, Data Factory, and Real-Time Analytics.
• Build and optimize high-performance ETL/ELT pipelines for ingesting, transforming, and processing large-scale enterprise datasets.
• Develop data engineering solutions using PySpark, SQL, Spark Notebooks,



and Microsoft Fabric capabilities.
• Design and implement Delta Lake architectures to support scalable, reliable, and high-performance analytics workloads.
• Integrate data from multiple sources including Azure services, databases, SaaS platforms, APIs, and enterprise applications.
• Design and maintain enterprise-grade data models supporting reporting, analytics, self-service BI, and AI/ML use cases.
• Develop and optimize data pipelines, storage architectures, and query performance across the data platform.
• Collaborate with business stakeholders, data architects, data scientists, and analytics teams to gather requirements and deliver data-driven solutions.
• Develop, support, and optimize Power BI semantic models, datasets, and reporting solutions leveraging Microsoft Fabric.
• Implement data quality, governance, security, and monitoring standards across enterprise data environments.
• Troubleshoot complex data integra

📌 Senior Microsoft Fabric Data Engineer (Pune)
🏢 Persistent Systems
📍 Pune