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Updated weekly · Last refresh Aug 30

KPMG Data Engineer Interview Questions

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

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1
PipelinesStart here. 4 questions · ~32 min
Data Quality and Schema EvolutionMedium
Recently asked

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityKPMG
Explain ETL in Data EngineeringEasy
Recently asked

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

ETLOrchestrationQualityKPMG
Data Warehouse vs Data LakeMedium
Recently asked

Tests architecture decision-making for storage and analytics needs.

comparisondata warehouseKPMG
Automating Workflows with PythonMedium
Recently asked

Assesses your ability to use Python for automation in data engineering workflows.

AutomationpythonKPMG
2
Behavioral & Leadership6 questions · ~48 min
Choosing Consulting for Data EngineeringEasy
Recently asked

Tests motivation for consulting, alignment of career goals, and readiness for client-facing data engineering work.

career goalscompany fitmotivationKPMG
Prioritizing Multiple Data RequestsMedium
Recently asked

Assesses prioritization, time management, and how you handle competing data and client demands.

task managementPrioritizationKPMG
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3
More topics2 questions · ~16 min
Optimizing a Poor SQL QueryMedium
Recently asked

Tests your SQL performance troubleshooting skills and use of query optimization techniques.

complex queriesKPMG
SQL and Python Data CleaningMedium

Evaluates practical skills in SQL and Python-based data cleaning for analytics and reporting.

data cleaningsqlKPMG

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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
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
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
The finish line: interview-readyComplete all 12 questions plus 3 hands-on drills to finish this plan.