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Dozee logo — Dozee Big Data Engineering Intern in Thiruvananthapuram, Kerala
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Big Data Engineering Intern

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Location

Thiruvananthapuram, Kerala

Work Mode

Hybrid

Duration

2 months

Stipend

₹17,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Data Science

Apply Now — ₹17,000/moApply on Company Website ↗

About the Internship

Dozee is hiring a Big Data Engineering Intern in Thiruvananthapuram — 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…

About Dozee

Dozee offers a mentor-led Big Data Engineering Intern in Thiruvananthapuram with live project work in data science, a stipend of ₹17,000/month and a Pre-Placement Offer opportunity for strong performers.
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Thiruvananthapuram, KeralaVerified employer2 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 Thiruvananthapuram. 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. 2Discussion with the hiring manager on the role and your fit
  3. 3Team-fit / behavioural interview with the team
  4. 4HR discussion — stipend, start date, expectations and offer
17,000/month

Stipend · 2 months

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Openings2 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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