System Design questions from Expedia data engineering interviews.
These system design questions are sourced from Expedia data engineering interviews. Each includes an expert-level answer. This set leans toward senior-level depth (6 of 6 are tagged hard). Recurring themes are optimization, partition, and spark — these patterns appear most often in real interviews and reward the deepest preparation. Many of these questions also surface at Swiggy, so the preparation transfers across companies. Average answer is around 3 minutes of reading — plan roughly 1 hour to work through the full set thoughtfully.
This collection contains 6 curated questions: 0 easy, and 6 hard. The distribution skews toward harder problems, reflecting the depth expected in senior-level interviews.
The most frequently tested areas in this set are optimization (5), partition (5), spark (5), join (4), and snowflake (1). Focusing on these topics will give you the highest return on your preparation time.
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.
Explain the trade-offs between batch and real-time data processing. Provide examples of when each is appropriate.
Build a banking system architecture from scratch, highlighting critical workflows, scalability, and data management strategies.
Demonstrate system design principles applied to BI solutions.
Design a project architecture visually and explain key components.
Discuss the deployment process for real-time applications using CI/CD pipelines.
Explain project architecture, technical contributions, and value delivered.
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