Kearney

Data Engineering Intern

InternshipIn OfficeNoida, Uttar Pradesh2 months27K/mo4 openingsImmediate / Rolling

About this internship

Kearney has an open Data Engineering Intern position in Noida for motivated freshers and final-year students. You will work on live data and analytics projects and finish with something you can genuinely talk about in interviews. About the role As a Data Engineering Intern at Kearney, your core…

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Skills you'll use

SQLPythonETLAirflowData WarehousingSpark BasicsCloud StorageData QualityGitPipeline Monitoring

What you'll do

Work on turning raw data into decisions people act on alongside the core team
Apply SQL, Python, ETL, Airflow 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/M.Sc (Statistics, Maths)/MCA/MBA (Analytics) — 2026 freshers & final-year students welcome
Working knowledge of SQL, Python, ETL (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 Noida, Uttar Pradesh

Perks & benefits

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & selection process

4 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Practical assignment or case study with a short walkthrough
3Discussion with the hiring manager on the role and your fit
4HR discussion — stipend, start date, expectations and offer

About Kearney

Kearney operates in the management consulting sector and has an active presence in Noida. 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…

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