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Mu Sigma

Data Engineering Intern

InternshipHybridWarangal, Telangana3 months26K/mo2 openingsImmediate / Rolling

About this internship

Mu Sigma is hiring a Data Engineering Intern in Warangal — 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 Mu Sigma, your core focus will be…

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 Warangal, Telangana

Perks & benefits

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

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 Mu Sigma

Mu Sigma operates in the data science & analytics sector and has an active presence in Warangal. 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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