Vedantu

Data Engineer Intern

InternshipHybridLatur, Maharashtra6 months20K/mo3 openingsImmediate / Rolling

About this internship

Vedantu is hiring a Data Engineer Intern in Latur — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to data engineering and large-scale pipelines rather than a certificate-only programme. About the role As a Data Engineer Intern at Vedantu, your core…

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Skills you'll use

PySparkDatabricksSnowflakeApache KafkaETL Pipeline DevelopmentAdvanced SQLApache AirflowData Modelling & WarehousingPythonCloud Storage (S3 / ADLS / GCS)

What you'll do

Work on building and hardening the ETL pipelines the rest of the company reports on alongside the core team
Apply PySpark, Databricks, Snowflake, Apache Kafka to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech (CSE/IT), BCA, MCA or M.Sc (Computer Science) — 2026 freshers & final-year students welcome
Working knowledge of PySpark, Databricks, Snowflake (or a genuine willingness to learn them)
Strong fundamentals in your discipline and clear problem-solving ability
Care with detail and the discipline to document your work
Clear written and verbal communication in English
Based in or willing to work from Latur, Maharashtra

Perks & benefits

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Technical interview on fundamentals and your projects

About Vedantu

Vedantu operates in the edtech sector and has an active presence in Latur. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work runs at…

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