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Microsoft Fabric Developer - Assistant Manager at KPMG Global Services

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, SQL, Python, Azure Data Factory, Microsoft Fabric, Data Pipelines, Data Modeling, Semantic Models, Datasets, Dashboards, ETL/ELT, Data Architecture, Lakehouse, Warehouse Solutions, DP-600, DP-700

Industry

Business Consulting and Services

Description

Job Title: Microsoft Fabric Assistant Manager Experience: 6 – 9 YOE Job Summary: We are looking for an experienced Data Engineer skilled in building modern analytics and data solutions using Microsoft technologies. The ideal candidate must have strong hands‑on experience with Power BI, SQL, Python, Azure Data Factory (ADF), and Microsoft Fabric, and must have experience in Microsoft Fabric projects and should hold a Fabric certification (DP‑600 or DP‑700). Key Responsibilities: * Develop and maintain scalable data pipelines using ADF and Microsoft Fabric. * Build data models, semantic models, and datasets to support analytics and reporting. * Create dashboards and reports using Power BI. * Implement data transformations using SQL and Python. * Ensure data quality, integrity, and performance across workflows. * Collaborate with business and technical teams to deliver end-to-end data solutions. Required Skills: * Strong experience in Azure-based data engineering. * Proficiency in Power BI, SQL, Python, ADF, and Fabric. * Solid understanding of ETL/ELT, data modeling, and modern data architecture. * Experience building Lakehouse/warehouse solutions. * Mandatory Microsoft Fabric certification (DP‑600 or DP‑700). * Ability to work independently on complex data tasks and handle team.

Responsibilities

The role involves developing and maintaining scalable data pipelines using Azure Data Factory and Microsoft Fabric, alongside building data models and creating Power BI dashboards and reports. Responsibilities also include implementing data transformations and ensuring data quality, integrity, and performance across workflows.