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Updated weekly · Last refresh Oct 17

Wish Data Engineer Interview Questions

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

11questions
~2htotal time
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1
PipelinesStart here. 8 questions · ~65 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 processingperformanceWish
Handle Incomplete Pipeline DataMedium

Approach for handling missing, inconsistent, and duplicate data in a pipeline without breaking downstream analytics.

Data WranglingETLQualityWish
Diagnose an Integration Pipeline IssueMedium

Structured approach to diagnose failures in an ETL integration, from source extraction through orchestration, data quality, and idempotent recovery.

ToolsDependenciesQualityWish
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityWish
Demand and Supply CalculationMedium

Evaluates your approach to defining metrics and computing demand and supply from data for product decisions.

supply chainWish
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2
More topics3 questions · ~25 min
Finding Parents EfficientlyHard

Tests your ability to design and optimize an algorithmic data structure under storage constraints.

Data StructuresWish
SQL vs NoSQL DifferencesEasy

Tests understanding of relational vs non-relational data models and when to use each.

JoinsData WranglingAggregationsWish
Handling Missing ValuesMedium

Tests your strategies for imputing, filtering, and preserving analytical validity with missing data.

SubqueriesData WranglingCase WhenWish

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Handling Missing DataEasy
Practice
Practice drill

Replace missing sales fields with defined defaults and return a consistently ordered dataset.

missing valuesdata cleaningnull handlingUniversity of MinnesotaThe Home DepotNationwide
Inner Join vs Outer JoinEasy
Practice
Practice drill

Demonstrate how INNER JOIN and FULL OUTER JOIN handle matching and unmatched rows.

JoinsData Wranglingnull valuesRocketNeenOpaleBay
Handling Missing DataMedium
Practice
Practice drill

Standardize missing observation fields with fallback values, missingness flags, and ordered output.

Window Functionsmissing valuesdata cleaningEversource EnergyCincinnati Children's HospitalAdtalem Global Education
The finish line: interview-readyComplete all 11 questions plus 3 hands-on drills to finish this plan.