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DigitalOcean logo — DigitalOcean Python for Data Engg Intern in Gwalior, Madhya Pradesh
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Python for Data Engg Intern

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Location

Gwalior, Madhya Pradesh

Work Mode

Work from Home

Duration

3 months

Stipend

₹22,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Data Science

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About the Internship

Start your career in Python data engineering with DigitalOcean as a Python for Data Engg Intern in Gwalior. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Python for Data Engg Intern at DigitalOcean, your…

About DigitalOcean

DigitalOcean offers a mentor-led Python for Data Engg Intern in Gwalior with live project work in data science, a stipend of ₹22,000/month and a Pre-Placement Offer opportunity for strong performers.
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Gwalior, Madhya PradeshVerified employer3 openings
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Skills Required

PythonPandasNumPySQLAlchemyREST APIsFile Formats (CSV/Parquet)Error HandlingLoggingUnit TestingGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), BCA/MCA or B.Sc/M.Sc (Computer Science / Statistics) who are based in or willing to work from Gwalior. You should be keen to learn Python, Pandas, NumPy 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

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationStructured onboarding and a formal mentor at a large, established employer

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
  3. 3Discussion with the hiring manager on the role and your fit
  4. 4HR discussion — stipend, start date, expectations and offer
22,000/month

Stipend · 3 months

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Openings3 positions
Applicants0 applied
ModeWork from Home
CategoryData Science
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