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Kyndryl logo — Kyndryl Informatica Intern in Meerut, Uttar Pradesh
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Informatica Intern

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Location

Meerut, Uttar Pradesh

Work Mode

In Office

Duration

4 months

Stipend

₹20,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Data Science

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About the Internship

Start your career in ETL and data warehousing with Kyndryl as an Informatica Intern in Meerut. 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 Intern at Kyndryl, your core focus will be moving…

About Kyndryl

Kyndryl offers a mentor-led Informatica Intern in Meerut with live project work in data science, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
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Meerut, Uttar PradeshVerified employer2 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 Meerut. 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

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityDirect 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. 2Team-fit / behavioural interview with the team
  3. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer
20,000/month

Stipend · 4 months

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Openings2 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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