SQL Developer Intern

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Location

Pune, Maharashtra

Work Mode

Hybrid

Duration

4 months

Stipend

₹17,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

About the Internship

Kick-start your career with SAS Research & Development India in Pune as a SQL Developer Intern. If you learn fastest by doing, this internship gives you real responsibility, real mentorship and real projects from day one. As a SQL Developer Intern, you will work closely with experienced…

About SAS Research & Development India

SAS Research & Development India offers a mentor-led SQL Developer Intern in Pune with real project work, a stipend of ₹17,000 / month and a Pre-Placement Offer opportunity for strong performers.

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Pune, MaharashtraVerified employer3 openings

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Skills Required

SQLPL/SQLDatabase DesignQuery OptimizationStored ProceduresETLMySQLPostgreSQL

Who Can Apply

Students in their final year or recent graduates (BE/B.Tech/BCA/MCA or any graduate with SQL) based in or willing to work from Pune, who are curious, self-driven and keen to learn data analyst on real projects. Freshers welcome — a strong project portfolio matters more than prior work experience.

Perks

Flexible working hoursStipendNetworking opportunitiesInternship CertificateLetter of RecommendationMentorship from experienced professionals

Interview & Selection Process

3 rounds — typical selection flow for this role:

1Application Screening — the recruitment team at SAS Research & Development India reviews your resume, projects/portfolio and fit for the SQL Developer Intern role.
2Aptitude / Skills Assessment — a screening test focused on SQL, joins and query optimisation.
3Technical / Role Interview — an in-depth discussion of your skills, projects and a task or case relevant to data analyst.
4HR / Managerial Discussion — a conversation about your interests, availability, learning goals and the internship offer with SAS Research & Development India.

₹17,000/month

Stipend · 4 months

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Openings3 positions

Applicants0 applied

ModeHybrid

CategoryData Analyst

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