Globant is a global digital transformation and software engineering company known for hiring developers who can combine strong coding ability with practical problem-solving skills. During the technical hiring process, candidates are typically evaluated through coding rounds that focus on data structures and algorithms (DSA), logical reasoning, and clean code implementation.

The coding interview often includes algorithmic challenges that test your understanding of arrays, strings, hashing, recursion, and basic optimization techniques. Interviewers also look for candidates who can clearly explain their thought process and write efficient, readable solutions. Practicing real interview-style problems is one of the most effective ways to prepare.

This page features 2 Globant DSA interview questions designed to help you understand the types of problems commonly asked and build confidence for the coding rounds.

Preparing for a Globant coding interview requires a solid grasp of fundamental data structures and the ability to apply them to real-world problem scenarios. The interview process often includes one or more technical rounds where you will be asked to solve algorithmic problems while explaining your reasoning and optimizing your solution.

Interviewers typically evaluate not just correctness, but also clarity of thought, efficiency, and coding style. They may ask follow-up questions about edge cases, time complexity, or how your solution could scale with larger inputs.

• Master core DSA concepts: Focus on arrays, strings, hash maps, stacks, recursion, and basic graph or tree problems. These frequently appear in coding interviews.
• Practice optimization: Start with a brute-force solution and then improve it. Interviewers appreciate candidates who can analyze time and space complexity.
• Communicate your approach: Walk through your logic before coding. Explaining your plan helps interviewers understand your reasoning.
• Handle edge cases: Always think about empty inputs, large values, duplicates, or boundary conditions.
• Write clean code: Use clear variable names and structured logic. Readability matters in collaborative engineering environments like Globant.

Consistent practice with real interview questions will help you recognize common patterns and build the confidence needed to perform well during Globant's technical interviews.