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Microsoft Fabric Intern (Lakehouse)

Web Neural Infotech
Bengaluru, Karnataka, India Posted 8 months ago Apply Before: Dec 31, 2026
₹ 5000 — ₹ 10000
Closed for applications
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Internship Details

Stipend
₹ 5000 — ₹ 10000
Company Location
Bengaluru, Karnataka, India
Candidate country Preference
Open to All Countries
Type
Internship
Experience
Fresh
Gender
No Preference
Apply Before
Dec 31, 2026
Compensation
Paid Internship
Work Mode
Remote

Skills Required

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AI Summary: What This Internship Needs

Must have
Microsoft Fabric Lakehouse architecture OneLake Data pipelines SQL Databases Data concepts Data ingestion Data transformation Data validation
Good to have
Cloud technologies Data engineering Data analytics
Experience: Freshers welcome, no experience needed
Education: Pursuing or completed degree/diploma in CS, IT, Data Science, or related.

Internship Description

Web Neural Infotech is offering a learning-focused internship opportunity for students and freshers who are eager to build a strong foundation in modern data platforms using Microsoft Fabric. This internship is designed to provide hands-on exposure to Lakehouse architecture, OneLake, and data pipelines within the Microsoft Fabric ecosystem. As a Microsoft Fabric Intern (Lakehouse) at Web Neural Infotech, interns will work under the guidance of experienced professionals and gain practical experience in designing, managing, and optimizing data solutions. The internship emphasizes real-world learning, industry-relevant tools, and best practices, making it ideal for candidates looking to start their career in data engineering and analytics. Internship Responsibilities Learn and work with Microsoft Fabric Lakehouse concepts and architecture Assist in managing and organizing data within OneLake Support the development and execution of data pipelines Perform basic data ingestion, transformation, and validation tasks Collaborate with mentors and team members on data-related projects Document learning outcomes and technical processes Basic Internship Requirements Currently pursuing or recently completed a degree/diploma in Computer Science, IT, Data Science, or related fields Basic understanding of databases, data concepts, and SQL Interest in data platforms, analytics, and cloud technologies Willingness to learn Microsoft Fabric, OneLake, and pipeline workflows Good communication skills and a proactive learning attitude

Benefits

Internship Benefits Hands-on experience with Microsoft Fabric and Lakehouse architecture Dedicated mentorship from industry professionals at Web Neural Infotech Internship completion certificate Paid internship with performance-based stipend Exposure to real-world data projects and industry practices Skills MicrosoftFabric, Lakehouse, OneLake, Pipelines, SQL, DataEngineering, Analytics, Cloud, ETL

This internship is closed for applications

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Closed for applications

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Frequently asked questions

What is the stipend for the Microsoft Fabric Intern (Lakehouse) internship at Web Neural Infotech?

The stipend for this internship is ₹ 5000 to ₹ 10000.

Is this a remote or in office internship?

This is a Remote internship, listed in Bengaluru, Karnataka, India.

What skills are required for this internship?

The company is looking for Microsoft Fabric.

What is the last date to apply for the Microsoft Fabric Intern (Lakehouse) internship at Web Neural Infotech?

Applications for this internship are closed. It accepted applications until 31 Dec 2026.

How do I apply for this internship?

This internship is no longer accepting applications. Have a look at the similar open internships on this page.

Listing Info & Trust Internship Updated On: 12 Jul 2026, 06:40 AM

This internship was posted by Web Neural Infotech. Apply My Internship does not control the content or hiring process of individual listings. If something here looks incorrect or concerning, let us know.

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Web Neural Infotech
, India
2 Open Internships
Web Neural Infotech is a leading AI and Data Science company driving innovation through cutting-edge research and real-world applications. We specialize in Big Data Analytics, Machine Learning, Cloud... Read More →

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