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Zinnov logo — Zinnov SQL Internship in Nainital, Uttarakhand
Zinnov VerifiedActively Hiring

SQL Internship

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Location

Nainital, Uttarakhand

Work Mode

Hybrid

Duration

2 months

Stipend

₹22,000/mo

Start Date

Immediate / Rolling

Openings

8 positions

Type

Full-time

Category

Data Science

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About the Internship

Zinnov is hiring a SQL Internship in Nainital — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to database engineering rather than a certificate-only programme. About the role As a SQL Internship at Zinnov, your core focus will be designing schemas…

About Zinnov

Zinnov offers a mentor-led SQL Internship in Nainital with live project work in data science, a stipend of ₹22,000/month and a Pre-Placement Offer opportunity for strong performers.
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Nainital, UttarakhandVerified employer8 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 Nainital. 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

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

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
  3. 3Discussion with the hiring manager on the role and your fit
  4. 4HR discussion — stipend, start date, expectations and offer
22,000/month

Stipend · 2 months

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Openings8 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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