Razorpay

Data Engineering Intern

InternshipHybridMumbai, Maharashtra2 months28K/mo1 openingImmediate / Rolling

About this internship

Join Razorpay in Mumbai as a Data Engineering Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on data engineering work. About the role As a Data Engineering Intern at Razorpay, your core focus will be…

Skills you'll use

PythonSQLApache AirflowSparkETL PipelinesData WarehousingdbtAWS / GCPData ModellingGit

What you'll do

Work on building pipelines and warehouse models the analytics team depends on alongside the core team
Apply Python, SQL, Apache Airflow, Spark 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/BCA/MCA — 2026 freshers & final-year students welcome
Working knowledge of Python, SQL, Apache Airflow (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 Mumbai, Maharashtra

Perks & benefits

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & selection process

4 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Technical interview on fundamentals and your projects
3Practical assignment or case study with a short walkthrough
4HR discussion — stipend, start date, expectations and offer

About Razorpay

Razorpay operates in the fintech & payments sector and has an active presence in Mumbai. 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…

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