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Pocketly logo — Pocketly Data Engineer Intern in Ahmedabad, Gujarat
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Data Engineer Intern

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Location

Ahmedabad, Gujarat

Work Mode

Hybrid

Duration

3 months

Stipend

₹20,000/mo

Start Date

Immediate / Rolling

Openings

11 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Join Pocketly in Ahmedabad as a Data Engineer 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 Engineer Intern at Pocketly, your core focus will be…

About Pocketly

Pocketly offers a mentor-led Data Engineer Intern in Ahmedabad with live project work in data analyst, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
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Ahmedabad, GujaratVerified 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 Ahmedabad. 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

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursBroad ownership and direct exposure to founders and senior decision-makers

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
  3. 3Team-fit / behavioural interview with the team
  4. 4HR discussion — stipend, start date, expectations and offer
20,000/month

Stipend · 3 months

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Openings11 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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