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Velocity logo — Velocity Data Engineer Intern in Hyderabad, Telangana
Velocity VerifiedActively Hiring

Data Engineer Intern

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Location

Hyderabad, Telangana

Work Mode

Hybrid

Duration

3 months

Stipend

₹24,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Join Velocity in Hyderabad 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 Velocity, your core focus will be…

About Velocity

Velocity offers a mentor-led Data Engineer Intern in Hyderabad with live project work in data analyst, a stipend of ₹24,000/month and a Pre-Placement Offer opportunity for strong performers.
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Hyderabad, TelanganaVerified employer2 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 Hyderabad. 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorBroad 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. 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 · 3 months

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Openings2 positions
Applicants1 applied
ModeHybrid
CategoryData Analyst
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