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.
MediumTechnical
0 practiced
Describe a data-driven approach to detect and mitigate algorithmic bias in guest-host matching at Airbnb. Explain which data slices and metrics you'd monitor, how you'd instrument experiments to test mitigations, and what production controls you might apply if a bias signal is detected.
HardTechnical
0 practiced
Write pseudocode for a scalable PySpark job that consumes a large event stream, joins events with an online feature store, computes model scores for users in micro-batches, and writes scores to a low-latency store. Include checkpointing, idempotency considerations, and how to handle late-arriving events and duplicate ingestion.
MediumTechnical
0 practiced
Write a Python pseudocode snippet using Spark Structured Streaming or Apache Beam-style API to compute weekly rolling booking counts per user from an event stream, with windowing semantics and late-arrival handling. Describe how you would ensure correctness and exactly-once or idempotent semantics in downstream features.
EasyTechnical
0 practiced
Given this simplified schema for Airbnb listings:listings(listing_id PK, host_id, address, city, created_at)Describe a SQL query (standard SQL) to flag potential duplicate listings for the same host where normalized address similarity is high (assume a function normalize_address(addr)). Return listing pairs and a similarity score. Describe assumptions and how you'd validate the results at scale.
EasyTechnical
0 practiced
Define data governance in the context of Airbnb's AI efforts. Describe two concrete governance controls you would push for to reduce risk when deploying models that use guest and host data, and explain how those controls align with product and legal requirements.
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