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Tata 1mg logo — Tata 1mg Data Quality & Governance Intern in Ahmedabad, Gujarat
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Data Quality & Governance Intern

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Location

Ahmedabad, Gujarat

Work Mode

Hybrid

Duration

2 months

Stipend

₹12,000/mo

Start Date

Immediate / Rolling

Openings

11 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹12,000/moApply on Company Website ↗

About the Internship

Join Tata 1mg in Ahmedabad as a Data Quality & Governance Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on data quality, governance and documentation work. About the role As a Data Quality &…

About Tata 1mg

Tata 1mg offers a mentor-led Data Quality & Governance Intern in Ahmedabad with live project work in data analyst, a stipend of ₹12,000/month and a Pre-Placement Offer opportunity for strong performers.
Ahmedabad, GujaratVerified employer11 openings
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Skills Required

SQLData ProfilingData Quality RulesExcelData Cataloguing & LineageMaster Data Management BasicsPython (Pandas)DocumentationData Governance ConceptsAttention to Detail

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), BCA/MCA, B.Sc (Statistics / Computer Science) who are based in or willing to work from Ahmedabad. You should be keen to learn SQL, Data Profiling, Data Quality Rules 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 mentorStructured onboarding and a formal mentor at a large, established employer

Interview & Selection Process

2 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
12,000/month

Stipend · 2 months

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Openings11 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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