Dataford
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Prep plan
Updated weekly · Last refresh Aug 30

24 Seven Talent Data Engineer Interview Questions

The questions to prepare for a 24 Seven Talent Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

36questions
~5htotal time
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1
CodingStart here. 4 questions · ~34 min
Deduplicating Dataset RecordsMedium
Practice

Use a hash map to retain the latest Hertz fleet event for each composite event key while preserving input order.

Hash TablesArraysSorting24 Seven Talent
Analyze Algorithm EfficiencyEasy

Evaluates reasoning about time and space complexity and performance implications.

MathSearchingSorting24 Seven Talent
Data Structures and GraphsHard

Tests advanced problem solving with fundamental data structures.

RecursionTreesGraphs24 Seven Talent
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2
Pipelines15 questions · ~127 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQuality24 Seven Talent
Data Validation in ETL PipelinesMedium

Approach for validating ETL data with schema, business rule, and pipeline-level checks.

strategiesETLdata validation24 Seven Talent
Data Quality in ML PipelinesMedium

Practical approach for maintaining data quality across ML ETL pipelines, orchestration, and repeatable data processing.

Data QualityETLData Modeling24 Seven Talent
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3
SQL & Data Manipulation3 questions + 3 drills · ~55 min
SQL vs NoSQL Trade-offsEasy

Explain SQL vs NoSQL trade-offs, including schema design, consistency, scaling, and query flexibility.

JoinsData WranglingAggregations24 Seven Talent
Handling Missing ValuesEasy

Tests your data cleaning judgment and how you protect analysis quality.

Data WranglingETLQuality24 Seven Talent
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
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
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4
Behavioral & Leadership14 questions · ~119 min
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The finish line: interview-readyComplete all 36 questions plus 3 hands-on drills to finish this plan.