Senior Data Engineer

Role : Fabric Architect / Senior Data Engineer 📍

Location: Bangalore / Chennai / Hyderabad (Hybrid) 💼

Experience: 10–14 Years 🕒

Employment Type: Full-Time

About the Role We are looking for an experienced

Fabric Architect / Senior Data Engineer with strong expertise in

Microsoft Fabric, Azure Data Engineering, and PySpark to build scalable enterprise data platforms and Lakehouse solutions. The ideal candidate will have hands-on experience designing data pipelines, implementing Lakehouse architectures, establishing data governance frameworks, and delivering modern analytics solutions using Microsoft Fabric. This role requires a strong Data Engineering background rather than a Data Analyst profile, with the ability to work closely with clients and explain technical solutions effectively.

Key Responsibilities

• Design and implement enterprise-scale data platforms using Microsoft Fabric.
• Build and maintain scalable ETL/ELT pipelines using PySpark and Fabric Notebooks.
• Develop Lakehouse architectures leveraging OneLake and Delta Lake.
• Create data ingestion frameworks using Data Factory and Dataflows Gen2.
• Implement data governance and lineage using Microsoft Purview.
• Design and optimize Fabric Data Warehouse and SQL Analytics solutions.
• Integrate external data sources using Shortcuts and Mirroring capabilities.
• Develop real-time and streaming solutions using Eventstream and Real-Time Analytics.
• Collaborate with business stakeholders and technical teams to define data strategies.
• Perform performance tuning, cost optimization, and architecture governance.
• Ensure adherence to security, compliance, and enterprise data standards.

Required Skills

• Strong hands-on experience with

Microsoft Fabric

• Fabric Lakehouse & OneLake
• Fabric Data Factory & Dataflows Gen2
• Fabric Data Warehouse
• SQL Analytics Endpoints
• PySpark & Spark Notebooks
• Azure Data Engineering
• Azure Synapse Analytics
• Azure Data Factory (ADF)
• Delta Lake
• ETL / ELT Development
• Data Modeling
• Data Transformation & Data Cleaning
• Microsoft Purview
• Data Governance & Lineage
• CI/CD and DevOps Practices

Preferred Experience

• Eventstream and Real-Time Analytics
• Fabric Shortcuts and Mirroring
• Dataverse Integration
• Medallion Architecture
• Enterprise Data Platforms
• Cost Optimization Initiatives
• Large-Scale Data Migration Projects
• Client-Facing Architecture Discussions

Experience Required

• 10–14 years of overall Data Engineering experience
• Minimum 1–2 years of hands-on Microsoft Fabric experience
• Strong Azure Data Engineering background
• Delivered at least 2+ Lakehouse implementations
• Experience with large-scale data pipeline modernization projects
• Strong expertise in PySpark-based transformations 📩 Interested candidates can share their updated resume at

"uma.jangra@glovetalent.com"