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Yazaki India logo — Yazaki India Database Engineering Intern in Moga, Punjab
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Database Engineering Intern

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Location

Moga, Punjab

Work Mode

In Office

Duration

3 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Join Yazaki India in Moga as a Database Engineering Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on database engineering work. About the role As a Database Engineering Intern at Yazaki India, your…

About Yazaki India

Yazaki India offers a mentor-led Database Engineering Intern in Moga with live project work in data analyst, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
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Moga, PunjabVerified employer2 openings
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Skills Required

SQLDatabase DesignIndexingQuery OptimisationNormalisationStored ProceduresTransactionsData ModellingBackup BasicsDocumentation

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), BCA/MCA, B.Sc (Computer Science / IT) or MCA who are based in or willing to work from Moga. You should be keen to learn SQL, Database Design, Indexing 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

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursDirect access to the team that owns the data you work on

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3Technical interview on fundamentals and your projects
  4. 4HR discussion — stipend, start date, expectations and offer
18,000/month

Stipend · 3 months

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Openings2 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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