LinkedIn Data Engineer Interview Questions
The questions to prepare for a LinkedIn Data Engineer interview. Questions from real interview reports rank first. Updated daily.
How to choose between row-oriented and column-oriented formats across different stages of a data pipeline.
LinkedInDesign a real-time feature pipeline processing 120K events/sec into low-latency feature tables and warehouse models with replay and quality controls.
LinkedInAssesses your ability to design and reason about an efficient string algorithm.
LinkedInTests hands-on Python ability for common data prep and transformation tasks.
LinkedInTests ability to design time and memory efficient streaming algorithms.
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Tests ability to apply partitioning and indexing strategies to meet latency and throughput goals.
LinkedInTests ability to write correct, efficient SQL joins for engagement analytics at scale.
LinkedInIdentify sessions with duplicate events and return the earliest timestamp across each affected session.
LinkedInAggregate LinkedIn feature pageviews and distinct visitors by day and user segment.
LinkedInIdentify each user's login streaks across consecutive calendar days using PostgreSQL date logic and window functions.
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AetnaTests strategies for scalable processing such as streaming, batching, and memory-efficient algorithms.
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