Airbnb Fit and Data Engineering Vision Questions
Topic focusing on understanding Airbnb's cultural fit and how the company's data engineering vision shapes its product strategy, data platform, governance, and cross-functional collaboration. Discuss how a candidate's values, communication style, and approach align with Airbnb's culture while considering the data engineering direction.
HardTechnical
0 practiced
Cold-start bias causes recommendation systems to favor long-standing listings, hurting new hosts. Propose a combined product and data engineering solution to reduce cold-start bias. Specify required data, offline evaluation metrics, online experiment design, and safety checks to avoid hurting guest experience.
HardSystem Design
0 practiced
Design an internal canonical metrics store for Airbnb that enforces single-source-of-truth definitions for metrics like 'completed bookings'. Your design should support versioning, lineage, both batch and streaming consumption, APIs for dashboards and experiments, and access controls. Discuss storage choices, consistency models, and trade-offs.
MediumTechnical
0 practiced
Describe how schema registry, metadata catalog, and lineage tools help reduce downstream analytics breakage. Provide pragmatic steps for integrating these tools into Airbnb's CI/CD and product development lifecycle, including unit tests, contract checks, and alerts to notify producers and consumers of breaking changes.
MediumTechnical
0 practiced
You are launching a new host growth feature. Design an experiment instrumentation plan that ensures the data engineering team can deliver reliable results: identify required events, minimum viable analytic tables, guardrails to detect instrumentation bugs, and an expected timeline for analysis after launch.
MediumTechnical
0 practiced
An important upstream service will change schema in a way that may break many downstream consumers. Draft a rollout playbook showing how you would coordinate with producers and consumers at Airbnb: communication cadence, canaries, consumer migration windows, testing requirements, and enforcement or gating strategies.
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