Cloud & Tools questions from Walmart data engineering interviews.
These cloud & tools questions are sourced from Walmart data engineering interviews. Each includes an expert-level answer. This set leans toward fundamentals — 3 easy, 0 medium, and 2 hard questions. Recurring themes are optimization, airflow, and bigquery — 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: 3 easy, and 2 hard. 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 optimization (2), airflow (2), bigquery (1), partition (1), spark (1), and sql (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. Hard questions often appear in senior and staff-level rounds; attempt them after you're comfortable with the basics. 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.
Could you describe a specific cost optimization strategy you implemented in the cloud and its results?
How Airflow operates in a Kubernetes environment
How Airflow stores logs and the role of its backend database
How did you contribute to cost optimization initiatives while working with cloud technologies?
Write code to upload Parquet files to an S3 bucket using boto3
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