Top 17
Prep plan
Updated weekly · Last refresh Nov 6

ING Data Engineer Interview Questions

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

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1
PipelinesStart here. 7 questions · ~56 min
Optimize Multi-Terabyte ETL PipelineMedium

Explain how you improved a slow ETL pipeline on multi-terabyte data, including bottleneck analysis, tuning choices, and validation.

ETL optimizationdata processingperformanceING
Spark Architecture OverviewMedium

Assesses understanding of Spark internals relevant to building and operating data pipelines.

sparkarchitectureING
Spark Data Abstractions and Fault ToleranceHard

Evaluates correct use of Spark abstractions and reliability mechanisms.

fault toleranceING
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2
Behavioral & Leadership6 questions · ~48 min
Troubleshooting a High-Stakes Data IssueMedium

Tests ownership in diagnosing a data issue, communicating clearly under pressure, and driving a durable fix with measurable impact.

CommunicationOwnershipDealing With AmbiguityING
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3
More topics4 questions · ~32 min
UDFs in PySpark Unit TestsHard

Assesses ability to write and structure PySpark transformations with UDFs safely.

pysparkING
Optimize Data Warehouse and SQLMedium

Tests SQL and data manipulation skills focused on warehouse performance.

data warehouseoptimizationING
Platform for Regulatory and Real-TimeHard

Evaluates system design for supporting ING's regulatory reporting and real-time analytics with reliability and scalability.

system designING
SQL vs NoSQL for AnalyticsMedium

Evaluates tradeoffs between SQL and NoSQL for analytical workloads and reporting requirements.

nosqlsqlING

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 17 questions plus 3 hands-on drills to finish this plan.