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Slice logo — Slice Big Data Analytics Intern in Pune, Maharashtra
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Big Data Analytics Intern

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Location

Pune, Maharashtra

Work Mode

Hybrid

Duration

4 months

Stipend

₹36,000/mo

Start Date

Immediate / Rolling

Openings

8 positions

Type

Full-time

Category

Data Science

Apply Now — ₹36,000/moApply on Company Website ↗

About the Internship

Slice is hiring a Big Data Analytics Intern in Pune — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to large-scale data processing rather than a certificate-only programme. About the role As a Big Data Analytics Intern at Slice, your core focus will…

About Slice

Slice offers a mentor-led Big Data Analytics Intern in Pune with live project work in data science, a stipend of ₹36,000/month and a Pre-Placement Offer opportunity for strong performers.
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Pune, MaharashtraVerified employer8 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 Pune. 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

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
36,000/month

Stipend · 4 months

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Openings8 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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