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LIC Housing Finance logo — LIC Housing Finance Data Engineering Intern in Noida, Uttar Pradesh
LIC Housing Finance VerifiedActively Hiring

Data Engineering Intern

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Location

Noida, Uttar Pradesh

Work Mode

Hybrid

Duration

3 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Data Science

Apply Now — ₹23,000/moApply on Company Website ↗

About the Internship

LIC Housing Finance is hiring a Data Engineering Intern in Noida — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to data and analytics rather than a certificate-only programme. About the role As a Data Engineering Intern at LIC Housing Finance, your…

About LIC Housing Finance

LIC Housing Finance offers a mentor-led Data Engineering Intern in Noida with live project work in data science, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
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Noida, Uttar PradeshVerified employer2 openings
Apply to LIC Housing Finance

Skills Required

SQLPythonETLAirflowData WarehousingSpark BasicsCloud StorageData QualityGitPipeline Monitoring

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech/M.Sc (Statistics, Maths)/MCA/MBA (Analytics) who are based in or willing to work from Noida. You should be keen to learn SQL, Python, ETL 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

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
23,000/month

Stipend · 3 months

Apply Now →
Openings2 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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