Top 31
Prep plan
Updated weekly · Last refresh Aug 30

Flow Data Engineer Interview Questions

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

31questions
~4htotal time
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1
PipelinesStart here. 10 questions · ~83 min
Batch vs Stream Processing Trade-offsMedium

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLFlow
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualityFlow
Iceberg Partitioning vs HiveMedium

Tests understanding of table formats, partition evolution, and query performance tradeoffs.

performanceData ModelingQualityFlow
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2
Coding9 questions · ~74 min
Optimizing Skewed Spark JoinsHard

Tests join execution understanding and practical optimization techniques for skew and shuffle costs.

JoinsperformancesparkFlow
Concurrent Spark Memory ManagementHard

Tests tuning and resource isolation skills for stable performance under concurrency.

memoryperformancesparkFlow
Avoiding collect() Memory BlowupsMedium

Tests ability to prevent driver OOMs and redesign Spark actions for scalable processing.

memorysparkFlow
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3
Behavioral & Leadership10 questions · ~83 min
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4
More topics2 questions · ~17 min
Joining Large and Small DatasetsMedium

Evaluates your approach to join strategy selection for performance and scalability in Spark.

JoinssparkFlow
Spark Window FunctionsMedium

Assesses your ability to reason about window functions, partitions, and ordering semantics in Spark SQL.

Window FunctionssparkFlow
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 31 questions plus 3 hands-on drills to finish this plan.