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Updated weekly · Last refresh Aug 30

DNV Data Engineer Interview Questions

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

15questions
~2htotal time
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1
PipelinesStart here. 12 questions · ~98 min
Explain ETL in Data EngineeringEasy

Explain the ETL process, why it matters, and how it fits into a practical data pipeline.

ETLOrchestrationQualityDNV
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityDNV
Cleaning Missing Values in PipelinesEasy

Approach for handling missing values in a pipeline with data quality checks and repeatable transformations.

Data WranglingETLQualityDNV
Cloud AI Deployment Pipeline ExperienceMedium

Discuss experience building cloud-based AI pipelines, including orchestration, processing patterns, infrastructure choices, and data quality controls.

InfrastructureToolsQualityDNV
Diagnose an Integration Pipeline IssueMedium

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

ToolsDependenciesQualityDNV
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2
More topics3 questions · ~24 min
Time Complexity of Common StructuresMedium

Explain average and worst-case time complexities for arrays, hash tables, linked lists, and trees.

Hash TablesArraysTreesDNV
Optimizing SQL QueriesEasy

Tests your SQL tuning skills to improve runtime, cost, and resource usage.

Window FunctionsJoinsAggregationsDNV
Handling Multiple ProjectsMedium

Assesses your prioritization, planning, and execution approach across concurrent data engineering work.

time managementProject ManagementDNV

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Monthly Campaign Performance SummaryEasy
Practice
Practice drill

Aggregate January 2024 campaign data by channel using GROUP BY, filtering, and ordering by total clicks.

JoinsData WranglingAggregationsDNVEversanaDiscord
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
The finish line: interview-readyComplete all 15 questions plus 3 hands-on drills to finish this plan.