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IndusInd Bank logo — IndusInd Bank Informatica Internship in Amroha, Uttar Pradesh
IndusInd Bank VerifiedActively Hiring

Informatica Internship

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Location

Amroha, Uttar Pradesh

Work Mode

In Office

Duration

6 months

Stipend

₹24,000/mo

Start Date

Immediate / Rolling

Openings

5 positions

Type

Full-time

Category

Data Science

Apply Now — ₹24,000/moApply on Company Website ↗

About the Internship

Start your career in ETL and data warehousing with IndusInd Bank as an Informatica Internship in Amroha. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As an Informatica Internship at IndusInd Bank, your core…

About IndusInd Bank

IndusInd Bank offers a mentor-led Informatica Internship in Amroha with live project work in data science, a stipend of ₹24,000/month and a Pre-Placement Offer opportunity for strong performers.
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Amroha, Uttar PradeshVerified employer5 openings
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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 Amroha. 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

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationStructured 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. 2Online aptitude / domain assessment
24,000/month

Stipend · 6 months

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Openings5 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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