General questions from Walmart data engineering interviews.
These general questions are sourced from Walmart data engineering interviews. Each includes an expert-level answer. This set leans toward fundamentals — 5 easy, 0 medium, and 0 hard questions. Recurring themes are spark and airflow — these patterns appear most often in real interviews and reward the deepest preparation. Average answer is around 1 minute of reading — plan roughly 1 hour to work through the full set thoughtfully.
This collection contains 5 curated questions: 5 easy. There's a strong foundation of fundamentals-focused questions — ideal for building confidence before tackling advanced topics.
The most frequently tested areas in this set are spark (2), and airflow (1). Focusing on these topics will give you the highest return on your preparation time.
Start with the easy questions to warm up and solidify fundamentals. For each question, try answering before revealing the solution. Use our AI Mock Interview to simulate real interview conditions and get instant feedback on your responses.
Can you share an example of a project you worked on that had a significant impact on your organization?
Deadlock Prevention - how deadlocks occur and how to prevent them
How did you develop the Datahub using Open Source Projects such as Spline & Datahub?
Serialization vs Deserialization
What do you think about Data uncertainty?
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