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Velocity logo — Velocity Big Data Analytics Intern in Nashik, Maharashtra
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Big Data Analytics Intern

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Location

Nashik, Maharashtra

Work Mode

Hybrid

Duration

3 months

Stipend

₹20,000/mo

Start Date

Immediate / Rolling

Openings

11 positions

Type

Full-time

Category

Data Science

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About the Internship

Join Velocity in Nashik as a Big Data Analytics Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on large-scale data processing work. About the role As a Big Data Analytics Intern at Velocity, your core…

About Velocity

Velocity offers a mentor-led Big Data Analytics Intern in Nashik with live project work in data science, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
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Nashik, MaharashtraVerified employer11 openings
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Skills Required

Apache SparkPython (PySpark)SQLDistributed ComputingHadoop Ecosystem BasicsData PartitioningQuery OptimisationCloud Data PlatformsParquet & Columnar FormatsPerformance Tuning

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA or M.Sc (Computer Science / Data Science) who are based in or willing to work from Nashik. You should be keen to learn Apache Spark, Python (PySpark), SQL 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 hours

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
20,000/month

Stipend · 3 months

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Openings11 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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