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Updated weekly · Last refresh Aug 30

Samsung Ads Data Engineer Interview Questions

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

25questions
~3htotal time
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1
PipelinesStart here. 3 questions · ~24 min
Data Quality in ETL PipelinesEasy
Recently asked

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualitySamsung Ads
Streaming and Batch Pipeline DesignHard
Recently asked

Tests architecture decisions for hybrid streaming and batch pipelines in production.

Stream ProcessingBatch ProcessingOrchestrationSamsung Ads
SQL, Python, and Spark PipelinesMedium

Assesses practical experience designing and implementing data pipelines with SQL, Python, and Spark.

sqlpythonsparkSamsung Ads
2
Coding3 questions · ~24 min
Merge Two Numbers in PythonEasy
Recently asked

Tests basic Python understanding of combining numeric values.

functionsbasicspythonSamsung Ads
Easy String ProcessingEasy

Tests basic string manipulation skills and implementation clarity.

leetcodeSamsung Ads
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3
SQL & Data Manipulation4 questions + 3 drills · ~62 min
Handle Duplicate Telemetry RecordsMedium
Recently asked

Tests data quality and deduplication strategies that preserve important events.

deduplicationtelemetrydata integritySamsung Ads
Join Types and PerformanceMedium
Recently asked

Tests understanding of join semantics and performance tradeoffs on large datasets.

Joinsperformancemany-to-oneSamsung Ads
User Retention SQL QueryMedium
Recently asked

Tests ability to write correct SQL for retention metrics at scale in Samsung Ads analytics.

RetentionJoinsAggregationsSamsung Ads
Second Highest Trader SalaryEasy
Practice
Practice drill

Find the second highest distinct salary from a single table using basic PostgreSQL ordering and limiting.

SubqueriesRankingSortingeClinicalWorksInformaticaSpectraforce Technologies
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
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
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4
Behavioral & Leadership15 questions · ~120 min
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The finish line: interview-readyComplete all 25 questions plus 3 hands-on drills to finish this plan.