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Honeywell India logo — Honeywell India Data Engineer Intern in Kasaragod, Kerala
Honeywell India VerifiedActively Hiring

Data Engineer Intern

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Location

Kasaragod, Kerala

Work Mode

Hybrid

Duration

2 months

Stipend

₹25,000/mo

Start Date

Immediate / Rolling

Openings

1 positions

Type

Full-time

Category

Data Science

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About the Internship

Join Honeywell India in Kasaragod as a Data Engineer Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on data engineering and large-scale pipelines work. About the role As a Data Engineer Intern at…

About Honeywell India

Honeywell India offers a mentor-led Data Engineer Intern in Kasaragod 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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Kasaragod, KeralaVerified employer1 opening
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Skills Required

PySparkDatabricksSnowflakeApache KafkaETL Pipeline DevelopmentAdvanced SQLApache AirflowData Modelling & WarehousingPythonCloud Storage (S3 / ADLS / GCS)

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), BCA, MCA or M.Sc (Computer Science) who are based in or willing to work from Kasaragod. You should be keen to learn PySpark, Databricks, Snowflake 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 mentor

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
25,000/month

Stipend · 2 months

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Openings1 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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