Affine

Data Engineering Intern

InternshipHybridMysuru, Karnataka6 months36K/mo4 openingsImmediate / Rolling

About this internship

Join Affine in Mysuru 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 Affine, 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 Mysuru, Karnataka

Perks & benefits

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

Interview & selection process

4 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Discussion with the hiring manager on the role and your fit
3Team-fit / behavioural interview with the team
4HR discussion — stipend, start date, expectations and offer

About Affine

Affine operates in the data science & analytics sector and has an active presence in Mysuru. 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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