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Power Platform Intern

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Location

Kolkata, West Bengal

Work Mode

Hybrid

Duration

6 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

10 positions

Type

Full-time

Category

Data Science

Apply Now — ₹23,000/moApply on Company Website ↗

About the Internship

Collabera is hiring a Power Platform Intern in Kolkata — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to Microsoft Power Platform rather than a certificate-only programme. About the role As a Power Platform Intern at Collabera, your core focus will…

About Collabera

Collabera offers a mentor-led Power Platform Intern in Kolkata with live project work in data science, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
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Kolkata, West BengalVerified employer10 openings
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Skills Required

Power AppsPower AutomatePower BIDataverseSharePointMicrosoft 365Workflow DesignExcelLow-Code DevelopmentDocumentation

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 Kolkata. You should be keen to learn Power Apps, Power Automate, Power BI 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

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateDirect 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. 2Practical assignment or case study with a short walkthrough
  3. 3Discussion with the hiring manager on the role and your fit
  4. 4HR discussion — stipend, start date, expectations and offer
23,000/month

Stipend · 6 months

Apply Now →
Openings10 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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