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MS Fabric / Azure Data Engineer ( 5- 7 yrs ) Bangalore - Immediate Joiner at WNS Global Services

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

30 Apr, 26

Salary

0.0

Posted On

30 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Microsoft Fabric, Lakehouse, Warehouse Workloads, SQL, Data Architecture, Data Modelling, Azure Synapse Analytics, Azure Data Factory, Data Integration Pipelines, Python, PySpark

Industry

Business Consulting and Services

Description

Company Description WNS (Holdings) Limited (NYSE: WNS) is a digital-led business transformation and services company that co-creates smarter businesses with more than 700 clients across 10 industries. We blend deep domain excellence, WNS’ core differentiation, with AI-powered platforms and analytics to help businesses innovate continuously, scale effortlessly, adapt swiftly and lead resiliently in a world defined by disruption. Our purpose: Enabling lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and differentiated impact. 3 4 13 Global Headquarters Continents Countries 700+ 66000+ 65 Clients Employees Delivery Centers Job Description 5–8 years of experience in data engineering space. Strong hands‑on expertise with Microsoft Fabric ecosystem [1 to 2 years]. Experience working with Lakehouse and Warehouse workloads within Fabric. Proficiency in SQL with ability to write complex queries and optimize performance. Solid understanding of data architecture, data modelling, and best practices. Working knowledge of Azure Synapse Analytics and Azure Data Factory (ADF), and experience with data integration pipelines. Good to Have Skills: Experience with Python & PySpark for data processing and data transformations. Qualifications Graduate or above

Responsibilities

The role involves working with the Microsoft Fabric ecosystem, specifically focusing on Lakehouse and Warehouse workloads. The engineer will also be responsible for writing complex SQL queries and optimizing performance.