Top 36
Prep plan
Updated weekly · Last refresh Oct 17

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 daily.

36questions
~5htotal time
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1
CodingStart here. 3 questions · ~26 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
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2
Pipelines15 questions · ~132 min
Preferred ETL and Transformation ToolsEasy

Explain your preferred extraction and transformation stack, and the reasoning behind those tool choices.

ToolsETLELT24 Seven Talent
Handling a Production Pipeline FailureEasy

Describe a real production pipeline failure, how you diagnosed and fixed it, and what changes you made around orchestration, quality, and reruns.

InfrastructureIdempotencyQuality24 Seven Talent
Design Real-Time Operations Dashboard PipelineHard

Design a pipeline for a real-time operational dashboard, covering streaming ingestion, modeling, data quality, and dashboard serving.

InfrastructureStream ProcessingQuality24 Seven Talent
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3
SQL & Data Manipulation3 questions + 2 drills · ~46 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
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4
Behavioral & Leadership14 questions · ~123 min
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5
More topics1 question · ~9 min
The finish line: interview-readyComplete all 36 questions plus 2 hands-on drills to finish this plan.