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Tiger Analytics

Data Engineering Intern

InternshipHybridCoimbatore, Tamil Nadu3 months19K/mo2 openingsImmediate / Rolling
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About this internship

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

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Skills you'll use

PythonSQLApache AirflowSparkETL PipelinesData WarehousingdbtAWS / GCPData ModellingGit

What you'll do

  • Work on building and maintaining data pipelines and warehouse models 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 Coimbatore, Tamil Nadu

Perks & benefits

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & selection process

2 rounds — typical selection flow for this role:

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

About Tiger Analytics

Tiger Analytics operates in the data science & analytics sector and has an active presence in Coimbatore. 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…
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