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Updated weekly · Last refresh Aug 30

Netflix Data Engineer Interview Questions

The questions to prepare for a Netflix Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

50questions
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1
CodingStart here. 9 questions · ~85 min
Validate JSON Against SchemaMedium
Practice

Recursively validate nested Netflix Keystone payloads against a restricted JSON schema.

Netflix
Producer-Consumer in PythonMedium
Practice

Implement a bounded producer-consumer pipeline that processes Netflix media segments concurrently while preserving input order.

Netflix
Exponential Backoff RetriesMedium
Practice

Simulate capped exponential backoff for failed Netflix event delivery attempts and report the retry schedule.

Netflix
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2
Pipelines20 questions · ~189 min
Data Quality in ML PipelinesMedium

Practical approach for maintaining data quality across ML ETL pipelines, orchestration, and repeatable data processing.

Data QualityETLData ModelingNetflix
Design Enterprise Data Lake ArchitectureMedium

Design an AWS data lake architecture handling 12 TB/day batch data and 80K events/sec with governed bronze, silver, and gold layers.

InfrastructureETLData ModelingNetflix
Privacy Compliance in Data PipelinesMedium

Approach for building privacy controls, lineage, and auditability into data pipelines that handle personal data.

Compliancedata privacyPipelinesNetflix
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3
SQL & Data Manipulation11 questions + 3 drills · ~134 min
4
Behavioral & Leadership10 questions · ~94 min
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The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.