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Leo Burnett India logo — Leo Burnett India Data Engineering Intern in Gurugram, Haryana
Leo Burnett India VerifiedActively Hiring

Data Engineering Intern

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Location

Gurugram, Haryana

Work Mode

In Office

Duration

2 months

Stipend

₹24,000/mo

Start Date

Immediate / Rolling

Openings

1 positions

Type

Full-time

Category

Data Science

Apply Now — ₹24,000/moApply on Company Website ↗

About the Internship

Leo Burnett India has an open Data Engineering Intern position in Gurugram 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 Leo…

About Leo Burnett India

Leo Burnett India offers a mentor-led Data Engineering Intern in Gurugram with live project work in data science, a stipend of ₹24,000/month and a Pre-Placement Offer opportunity for strong performers.
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Gurugram, HaryanaVerified employer1 opening
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Skills Required

SQLPythonETLAirflowData WarehousingSpark BasicsCloud StorageData QualityGitPipeline Monitoring

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech/M.Sc (Statistics, Maths)/MCA/MBA (Analytics) who are based in or willing to work from Gurugram. You should be keen to learn SQL, Python, ETL on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

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

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer
24,000/month

Stipend · 2 months

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Openings1 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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