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Updated weekly · Last refresh Aug 30

Wish Data Engineer Interview Questions

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

12questions
~2htotal time
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1
PipelinesStart here. 8 questions · ~64 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityWish
Handle Incomplete Pipeline DataMedium

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

Data WranglingETLQualityWish
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
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
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2
More topics4 questions · ~32 min
Handling Missing ValuesMedium

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

SubqueriesData WranglingCase WhenWish
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
Tell Us About YourselfEasy

Assesses communication clarity and basic motivation context for joining Wish.

company knowledgeWish

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top Customers by Region VolumeMedium
Practice
Practice drill

Find the top 3 customers in each region by transaction volume using joins, aggregation, and window ranking.

Window FunctionsJoinsRankingJPMorganChaseSilicon Valley BankNavi
Daily Active Users and ChurnMedium
Practice
Practice drill

Calculate Wish daily active users and next-day churn with deduplication, CTEs, joins, and date aggregation.

sql queriesWish
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
The finish line: interview-readyComplete all 12 questions plus 3 hands-on drills to finish this plan.