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Updated weekly · Last refresh Aug 30

Perk Data Engineer Interview Questions

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

10questions
~1htotal time
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1
PipelinesStart here. 5 questions · ~40 min
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityPerk
Design High-Throughput Event PipelineHard

Design a real-time event pipeline that can handle millions of events per second with sub-second latency.

data pipelineevent processinglatencyPerk
Consistency Across Data SourcesMedium

Approach for keeping records aligned and trustworthy when multiple source systems feed the same pipeline.

InfrastructureQualityPerk
Most Complex ETL and ToolsHard

Evaluates your ETL complexity handling and tool selection for reliable data pipelines.

ToolsETLPerk
Design a Scenario Data ModelMedium

Tests your ability to model data for ETL and analytics use cases in Perk’s travel and spend domain.

scenario analysisData ModelingPerk

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2
Behavioral & Leadership5 questions · ~40 min
Handling Tough Code Review FeedbackMedium

Tests how you receive peer feedback in code reviews, respond constructively, and turn critique into better code and stronger team habits.

code reviewsCommunicationfeedbackPerk
Aligning With Technical StakeholdersMedium

Tests conflict resolution and influence without authority when technical stakeholders disagree on product direction.

Stakeholder Managementtechnical credibilitycross-functional collaborationPerk
Prioritizing Competing Data RequestsMedium

Tests prioritization under pressure in a data engineering context, including stakeholder management, trade-off decisions, and ownership of outcomes.

Decision MakingStakeholder ManagementPrioritizationPerk
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The finish line: interview-readyComplete all 10 questions to finish this plan.