Location
Azamgarh, Uttar Pradesh
Work Mode
Hybrid
Duration
3 months
Stipend
₹23,000/mo
Start Date
Immediate / Rolling
Openings
15 positions
Type
Full-time
Category
Data Science
About the Internship
Wells Fargo India is hiring an ETL Developer Internship in Azamgarh — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to ETL and data warehousing rather than a certificate-only programme.
About the role
As an ETL Developer Internship at Wells Fargo…
About Wells Fargo India
Wells Fargo India offers a mentor-led ETL Developer Internship in Azamgarh with live project work in data science, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Wells Fargo Indiainternships →Azamgarh, Uttar PradeshVerified employer15 openings
Apply to Wells Fargo India →Skills Required
ETL DevelopmentSQLData WarehousingDimensional ModellingJob SchedulingData ReconciliationPythonError HandlingPerformance TuningDocumentation
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 Azamgarh. You should be keen to learn ETL Development, SQL, Data Warehousing 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
Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsStructured onboarding and a formal mentor at a large, established employer
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Technical interview on fundamentals and your projects
- 3Practical assignment or case study with a short walkthrough
- 4HR discussion — stipend, start date, expectations and offer
₹23,000/month
Stipend · 3 months
Openings15 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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