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PepsiCo India logo — PepsiCo India Database Analyst Intern in Faridabad, Haryana
PepsiCo India VerifiedActively Hiring

Database Analyst Intern

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Location

Faridabad, Haryana

Work Mode

Hybrid

Duration

2 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

13 positions

Type

Full-time

Category

Data Science

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About the Internship

Join PepsiCo India in Faridabad as a Database Analyst 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 Analyst Intern at PepsiCo India, your…

About PepsiCo India

PepsiCo India offers a mentor-led Database Analyst Intern in Faridabad 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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Faridabad, HaryanaVerified employer13 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 Faridabad. 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorDirect 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 · 2 months

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Openings13 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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