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Torry Harris logo — Torry Harris Data Engineering Intern in Faridabad, Haryana
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Data Engineering Intern

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Location

Faridabad, Haryana

Work Mode

Hybrid

Duration

4 months

Stipend

₹15,000/mo

Start Date

Immediate / Rolling

Openings

14 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Torry Harris is hiring a Data Engineering Intern in Faridabad — 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 Data Engineering Intern at Torry Harris, your core focus…

About Torry Harris

Torry Harris offers a mentor-led Data Engineering Intern in Faridabad with live project work in data analyst, a stipend of ₹15,000/month and a Pre-Placement Offer opportunity for strong performers.
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Faridabad, HaryanaVerified employer14 openings
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Skills Required

PythonSQLETL & ELTApache SparkAirflowData WarehousingData ModellingCloud StorageData Quality ChecksGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Faridabad. You should be keen to learn Python, SQL, ETL & ELT 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

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
15,000/month

Stipend · 4 months

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Openings14 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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