SENIOR MICROSOFT FABRIC DATA ENGINEER

VRINDA INTERNATIONAL; Tamil Nadu; Hybrid; INR 2,300,000 - 2,500,000; Full time

Job summary

VRINDA INTERNATIONAL is seeking a Senior Microsoft Fabric Data Engineer to design and optimize enterprise-scale data platforms. The role focuses on building scalable data pipelines, enabling AI/ML workloads, and delivering analytical data products using Fabric, OneLake, Lakehouse, and Data Factory.

The candidate will work in a hybrid model across PAN India locations, with 8–12 years of experience and a CTC of ₹23–25 LPA.

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

Cloud data platforms

Schema design & modeling

Azure Data Platform

Fabric Data Engineering

Tools

Microsoft Fabric

OneLake

Lakehouse

Data Factory

Azure Synapse

Dataflows Gen2

Power BI

Job description

HIRING | SENIOR MICROSOFT FABRIC DATA ENGINEER

Location: PAN India – Bangalore, Chennai, Pune, Hyderabad, Mumbai, Kolkata, Noida, Coimbatore, Indore, Nagpur & Bhubaneswar

Work Mode: Hybrid

Experience: 8–12 Years

CTC: ₹23–25 LPA

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
• Experience building AI-ready data platforms
• Knowledge of Responsible AI & Data Governance
• Strong analytical, troubleshooting and problem-solving skills
• Excellent written and verbal communication