Tredence

Data Engineering Intern

InternshipWork from HomeVadodara, Gujarat3 months27K/mo2 openingsImmediate / Rolling

About this internship

Start your career in data engineering with Tredence as a Data Engineering Intern in Vadodara. 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 Tredence, 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 Vadodara, Gujarat

Perks & benefits

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

Interview & selection process

4 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Team-fit / behavioural interview with the team
3Online aptitude / domain assessment
4HR discussion — stipend, start date, expectations and offer

About Tredence

Tredence operates in the analytics consulting sector and has an active presence in Vadodara. 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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