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GoBumpr logo — GoBumpr SAP FICO Intern in Aurangabad, Maharashtra
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SAP FICO Intern

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Location

Aurangabad, Maharashtra

Work Mode

Hybrid

Duration

2 months

Stipend

₹25,000/mo

Start Date

Immediate / Rolling

Openings

7 positions

Type

Full-time

Category

Data Science

Apply Now — ₹25,000/moApply on Company Website ↗

About the Internship

GoBumpr is hiring a SAP FICO Intern in Aurangabad — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to SAP module and platform work rather than a certificate-only programme. About the role As a SAP FICO Intern at GoBumpr, your core focus will be…

About GoBumpr

GoBumpr offers a mentor-led SAP FICO Intern in Aurangabad with live project work in data science, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
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Aurangabad, MaharashtraVerified employer7 openings
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Skills Required

SAPSAP ModulesABAP BasicsBusiness Process MappingSAP ReportingMaster DataTransactions & ConfigExcelTesting & UATDocumentation

Who Can Apply

  • Final-year students and recent graduates from BBA/MBA, B.Com, B.E./B.Tech (any branch), BCA or B.A. (Economics) who are based in or willing to work from Aurangabad. You should be keen to learn SAP, SAP Modules, ABAP Basics 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. 2Discussion with the hiring manager on the role and your fit
  3. 3Team-fit / behavioural interview with the team
  4. 4HR discussion — stipend, start date, expectations and offer
25,000/month

Stipend · 2 months

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Openings7 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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