Rapido

Data Engineering Intern

InternshipWork from HomeRanchi, Jharkhand3 months19K/mo2 openingsImmediate / Rolling

About this internship

Rapido has an open Data Engineering Intern position in Ranchi for motivated freshers and final-year students. You will work on live data engineering projects and finish with something you can genuinely talk about in interviews. About the role As a Data Engineering Intern at Rapido, your core focus…

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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 Ranchi, Jharkhand

Perks & benefits

Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionals

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 Rapido

Rapido operates in the mobility sector and has an active presence in Ranchi. 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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