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Quantiphi

Data Engineering Intern

InternshipWork from HomeRajkot, Gujarat6 months31K/mo4 openingsImmediate / Rolling

About this internship

Start your career in data engineering with Quantiphi as a Data Engineering Intern in Rajkot. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Data Engineering Intern at Quantiphi, 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 Rajkot, Gujarat

Perks & benefits

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

Interview & selection process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer

About Quantiphi

Quantiphi operates in the applied ai sector and has an active presence in Rajkot. 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…
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