Netflix data engineer interview guide
Netflix tends to hire experienced engineers, so interviews focus on ownership: designing reliable pipelines end to end and reasoning about streaming events and data quality.
Interview rounds
Pipeline / system design round
Design event pipelines (playback, recommendations) with streaming, CDC and medallion layers.
Practice system design →SQL round
Sessionization, time-series and window-function queries on viewing events.
Practice SQL problems →Data modeling round
Model content, viewing history and experiments for analytics.
Practice data modeling →Python / coding round
Data transformation and pipeline code that is readable and robust.
Practice Python problems →Sample Netflix interview questions
- Design a CDC pipeline that keeps analytics tables up to date.
- Explain a bronze / silver / gold (medallion) architecture.
- Pivot trip or session events into one row per session.
Tips to pass
- Lead with reliability and data quality.
- Discuss how you would monitor and alert.
- Bring real examples of pipelines you have owned.
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