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Moglix logo — Moglix Kafka Internship in Indore, Madhya Pradesh
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Kafka Internship

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Location

Indore, Madhya Pradesh

Work Mode

Hybrid

Duration

6 months

Stipend

₹25,000/mo

Start Date

Immediate / Rolling

Openings

5 positions

Type

Full-time

Category

Data Science

Apply Now — ₹25,000/moApply on Company Website ↗

About the Internship

Moglix is hiring a Kafka Internship in Indore — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to event streaming with Apache Kafka rather than a certificate-only programme. About the role As a Kafka Internship at Moglix, your core focus will be…

About Moglix

Moglix offers a mentor-led Kafka Internship in Indore with live project work in data science, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
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Indore, Madhya PradeshVerified employer5 openings
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Skills Required

Apache KafkaEvent StreamingProducers & ConsumersTopics & PartitionsJava or PythonSchema RegistryConsumer GroupsMonitoringDockerGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Indore. You should be keen to learn Apache Kafka, Event Streaming, Producers & Consumers 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 CertificateDirect access to the team that owns the data you work on

Interview & Selection Process

3 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. 3HR discussion — stipend, start date, expectations and offer
25,000/month

Stipend · 6 months

Apply Now →
Openings5 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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