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Nestlé India logo — Nestlé India Junior Data Engineer Intern in Indore, Madhya Pradesh
Nestlé India VerifiedActively Hiring

Junior Data Engineer Intern

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Location

Indore, Madhya Pradesh

Work Mode

Hybrid

Duration

6 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

11 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹23,000/moApply on Company Website ↗

About the Internship

Nestlé India is hiring a Junior Data Engineer Intern in Indore — 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 Junior Data Engineer Intern at Nestlé India, your core…

About Nestlé India

Nestlé India offers a mentor-led Junior Data Engineer Intern in Indore with live project work in data analyst, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
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Indore, Madhya PradeshVerified employer11 openings
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Skills Required

SQLPythonETL PipelinesApache AirflowData WarehousingSpark BasicsData ModellingCloud StorageData Quality ChecksGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), BCA/MCA, B.Sc (Statistics/Mathematics), B.Com/BBA or MBA who are based in or willing to work from Indore. You should be keen to learn SQL, Python, ETL Pipelines 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

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateDirect access to the team that owns the data you work on

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
23,000/month

Stipend · 6 months

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Openings11 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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