Globant Data Engineer Interview Questions + Guide in 2025

Globant is a digitally native technology services company that merges innovation, design, and engineering to empower organizations globally.

As a Data Engineer at Globant, you will play a crucial role in developing and maintaining data platforms that support large-scale projects across various industries. Key responsibilities include collaborating with clients to define data structures, designing scalable data mapping strategies, and proactively addressing data integration challenges. You will also be tasked with documenting data integration processes, coordinating with cross-functional teams, and implementing enhancements to improve scalability and reliability. Essential skills for this role include proficiency in programming languages such as Java, Python, and Scala, experience with cloud technologies (particularly AWS or GCP), a strong understanding of data streaming architecture, and familiarity with tools like Apache Spark and Airflow. A great fit for this position is someone who is flexible, goal-oriented, and possesses strong communication skills, as well as a deep understanding of data quality standards and frameworks.

This guide will help you prepare for a job interview by giving you insights into the expectations and requirements of the Data Engineer role at Globant, enabling you to present your experience and skills in a manner that aligns with the company's values and project goals.

The interview process for a Data Engineer position at Globant is structured to assess both technical skills and cultural fit within the company. It typically consists of several stages, each designed to evaluate different aspects of a candidate's qualifications and compatibility with the team.

1. Initial Screening

The process begins with an initial screening, which is often conducted by a recruiter. This stage usually involves a brief conversation to discuss your background, experience, and motivations for applying to Globant. Expect questions about your resume, your understanding of the role, and your career aspirations. Additionally, there may be a preliminary assessment of your English proficiency, as strong communication skills are essential for collaboration within the team.

2. Technical Assessment

Following the initial screening, candidates typically undergo a technical assessment. This may take the form of a coding test or a technical interview where you will be asked to solve problems related to data engineering. Questions may cover topics such as data modeling, SQL queries, and programming languages relevant to the role, such as Python or Java. Candidates should be prepared to demonstrate their understanding of data integration, cloud technologies, and data processing frameworks.

3. In-Depth Technical Interview

If you pass the technical assessment, the next step is an in-depth technical interview. This interview is usually conducted by a senior data engineer or a technical lead. During this session, you will be asked more complex questions that assess your knowledge of data engineering principles, tools, and methodologies. Expect to discuss your experience with cloud platforms (like AWS or GCP), data pipelines, and any relevant frameworks such as Apache Spark or Airflow. You may also be asked to explain your approach to solving specific data-related challenges.

4. Project Fit Interview

After the technical interviews, candidates often participate in a project fit interview. This stage involves discussions with team members or project managers to evaluate how well your skills and experiences align with the specific projects at Globant. You may be asked about your previous work experiences, how you handle project challenges, and your ability to work collaboratively in a team environment. This is also an opportunity for you to learn more about the projects you could potentially be involved in.

5. Final Interview with Client or Leadership

The final stage of the interview process may involve a meeting with a client or higher-level leadership within Globant. This interview focuses on assessing your ability to communicate effectively and understand client needs. You may be asked situational questions that gauge your problem-solving skills and how you would approach working with clients. This stage is crucial for determining your fit within the company culture and your potential to contribute to client success.

As you prepare for your interviews, be ready to discuss your technical expertise and how it applies to real-world scenarios, as well as your career goals and aspirations. Next, let’s delve into the specific interview questions that candidates have encountered during the process.

Practice for the Globant Data Engineer interview with these recently asked interview questions.