Motivation for Airbnb and Role Understanding Questions
Candidate's motivation for joining Airbnb and their understanding of the role, including alignment with Airbnb's culture, values, and product domain, to assess fit during the interview process.
EasyTechnical
0 practiced
How would you learn and internalize Airbnb's product domain and key metrics quickly after joining? Describe concrete steps you would take to understand the booking funnel, listing lifecycle, instrumentation events, commonly used datasets, and lineage so you can deliver value rapidly.
HardSystem Design
0 practiced
Airbnb plans to migrate from a centralized monolithic data warehouse to a modular data mesh with domain-owned datasets. As a lead Data Engineer, propose a migration strategy that covers ownership, interoperability, discoverability, governance, and incremental cut-over steps to avoid disrupting analytics and ML workflows.
HardTechnical
0 practiced
Create a 12–24 month roadmap for Airbnb's data platform that maps initiatives to business goals such as improving conversions, reducing fraud, and enabling personalization. Prioritize projects, estimate incremental investments, and define how you'd measure ROI and success for each initiative.
HardSystem Design
0 practiced
Design a scalable real-time data pipeline to support personalized search ranking and dynamic pricing at Airbnb that must serve millions of events per hour with sub-second aggregation latency for feature materialization. Address ingestion, stateful processing, storage for feature serving, partitioning, fault tolerance, and cost control.
MediumTechnical
0 practiced
Airbnb runs many experiments. As a Data Engineer, design pipeline and data validation strategies that ensure reliable A/B test results: consistency of assignment, exposure logging, event deduplication, metric computation reproducibility, and near-real-time monitoring for experiment health.
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