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BHEL logo — BHEL Real-Time Streaming Intern in Warangal, Telangana
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Real-Time Streaming Intern

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Location

Warangal, Telangana

Work Mode

Hybrid

Duration

3 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

14 positions

Type

Full-time

Category

Data Science

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About the Internship

Join BHEL in Warangal as a Real-Time Streaming Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on real-time data processing work. About the role As a Real-Time Streaming Intern at BHEL, your core focus…

About BHEL

BHEL offers a mentor-led Real-Time Streaming Intern in Warangal with live project work in data science, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
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Warangal, TelanganaVerified employer14 openings
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Skills Required

Stream ProcessingApache KafkaSpark Streaming or FlinkWindowingEvent Time vs Processing TimePython or JavaSQLMonitoringBackpressureGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), BCA/MCA or B.Sc/M.Sc (Computer Science) who are based in or willing to work from Warangal. You should be keen to learn Stream Processing, Apache Kafka, Spark Streaming or Flink 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorStructured onboarding and a formal mentor at a large, established employer

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer
18,000/month

Stipend · 3 months

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Openings14 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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