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ZORKO logo — ZORKO Big Data Engineering Intern in Srinagar, Jammu & Kashmir
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Big Data Engineering Intern

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Location

Srinagar, Jammu & Kashmir

Work Mode

Hybrid

Duration

6 months

Stipend

₹16,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Data Science

Apply Now — ₹16,000/moApply on Company Website ↗

About the Internship

ZORKO is hiring a Big Data Engineering Intern in Srinagar — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to distributed data processing with Spark rather than a certificate-only programme. About the role As a Big Data Engineering Intern at ZORKO…

About ZORKO

ZORKO offers a mentor-led Big Data Engineering Intern in Srinagar with live project work in data science, a stipend of ₹16,000/month and a Pre-Placement Offer opportunity for strong performers.
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Srinagar, Jammu & KashmirVerified employer9 openings
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Skills Required

Apache SparkPython or ScalaSQLHadoop EcosystemData PartitioningPerformance TuningData WarehousingLinuxAirflowGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc (Computer Science / IT) who are based in or willing to work from Srinagar. You should be keen to learn Apache Spark, Python or Scala, 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

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

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
16,000/month

Stipend · 6 months

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Openings9 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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