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Tier-1 brand, metro campuses, and a popular graduate-level data engineering role increase applicant density.
Core programming and data skills are transferable, but finance domain context increases sensitivity.
Strong academic, technical and programming requirements for graduate hires create strict shortlisting.
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Support global businesses in Technology division through innovation and problem-solving.
Develop and apply skills in programming languages such as Java, C++, C#, or C, with strong knowledge of algorithms, data structures, OOPS, and Unix.
Contribute to collaborative projects with a focus on technical aptitude and solution delivery.
Undergraduate or Master's student graduating in 2025.
Preferred majors: Computer Science, Computer Engineering, Electrical Engineering, Information Technology or related technical fields.
Experience in at least one programming language among Java, C++, C#, or C, with strong hold on algorithms, data structures, OOPS, and Unix.
Work Experience Required: Not explicitly mentioned in the JD.
Strong academic record combined with successful summer jobs, internships, or extracurricular activities indicating practical experience.
Demonstrates excellent problem-solving skills and technical aptitude in programming and computer science fundamentals.
Ability to work collaboratively and communicate effectively within a technology-driven environment.