SENIOR MICROSOFT FABRIC DATA ENGINEER

Vrinda International; India; Hybrid; INR 2,500,000 - 5,000,000; Full time

Job summary

Vrinda International seeks a Senior Microsoft Fabric Data Engineer to design and optimize enterprise-scale data platforms using Microsoft Fabric, Azure Data Platform, OneLake and Lakehouse. The role focuses on building scalable data pipelines and enabling AI/ML workloads in a hybrid work model.

You will own schemas, data models, and governance, collaborating with cross-functional teams to deliver analytical data products and ensure performance and reliability across the data estate.

Qualifications

• 8+ years of Data Engineering experience.
• 7+ years with Microsoft Azure Data Platform services.
• 7+ years in schema design & dimensional data modeling.
• Hands-on experience with Microsoft Fabric Data Engineering workloads.
• Strong expertise in Microsoft Fabric, OneLake, Lakehouse, Data Factory, Azure Synapse, Dataflows Gen2, Power BI.

Responsibilities

• Design and develop enterprise-scale data platforms using Microsoft Fabric.
• Work with OneLake, Lakehouse, Data Factory & AI-powered analytics.
• Build scalable and optimized data pipelines.
• Implement data governance and support AI/ML workloads.
• Develop analytical Data Products.
• Work with Fabric Data Agents and modern data engineering capabilities.
• Design effective schema and dimensional data models.
• Troubleshoot and optimize enterprise data solutions.

Skills

Data Engineering

Microsoft Fabric

Azure Data Platform

Data Modeling

Data Governance

Power BI

Tools

Azure Data Factory

Azure Synapse

OneLake

Lakehouse

Job description

• Country India

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Job Description

HIRING | SENIOR MICROSOFT FABRIC DATA ENGINEER

Work Mode: Hybrid

Experience: 8–12 Years

Role Overview

We are looking for an experienced Senior Microsoft Fabric Data Engineer with strong expertise in Microsoft Fabric, Azure Data Platform, OneLake, Lakehouse, Data Factory and modern data engineering .

The ideal candidate will be responsible for designing and optimizing enterprise-scale data platforms, building scalable data pipelines, enabling AI/ML workloads and delivering analytical data products.

Key Responsibilities

• Design and develop enterprise-scale data platforms using Microsoft Fabric
• Work with OneLake, Lakehouse, Data Factory & AI-powered analytics
• Build scalable and optimized data pipelines
• Implement data governance and support AI/ML workloads
• Develop analytical Data Products
• Work with Fabric Data Agents and modern data engineering capabilities
• Design effective schema and dimensional data models
• Troubleshoot and optimize enterprise data solutions

Mandatory Skills

• 8+ years of Data Engineering experience
• 7+ years with Microsoft Azure Data Platform services
• 7+ years in schema design & dimensional data modeling
• Hands-on experience with Microsoft Fabric Data Engineering workloads
• Strong expertise in:
• Microsoft Fabric | OneLake | Lakehouse | Data Factory | Azure Synapse | Dataflows Gen2 | Power BI

Nice to Have

• Fabric integration with Copilot / Agentic AI / Enterprise AI
• Knowledge of Responsible AI & Data Governance
• Strong analytical, troubleshooting and problem-solving skills
• Excellent written and verbal communication