Interview questions
Preparing for a data engineering interview at Globant? This page contains 6 real interview questions sourced from verified Globant interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Globant data engineering interviews typically focus on Spark/Big Data, SQL, and Behavioral. The interview bar skews toward harder problems (3 hard vs. 2 easy), suggesting emphasis on depth and system-level thinking.
Use the difficulty filters above to focus your preparation. For each question, attempt your own answer first, then compare with our expert solution. You can also practice these questions in our AI Mock Interview Coach for real-time feedback.
Tell me about yourself and your experience.
Explain the concept of checkpointing in Spark and why it is important.
How do you drop columns with null values in PySpark?
How do you count occurrences in a column in SQL?
How do you keep a specific column on top in SQL?
How does Adaptive Query Execution (AQE) work?
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