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The Phia Group Data Engineer Interview Questions

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

10questions
~1htotal time
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1
PipelinesStart here. 4 questions · ~32 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityThe Phia Group
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualityThe Phia Group
Debugging Failed Data PipelinesMedium

Tests your troubleshooting process, communication habits, and reliability practices for data pipelines.

data pipelineremote workDebuggingThe Phia Group
Choosing Storage for ScaleMedium

Tests your ability to select appropriate storage technologies based on performance, cost, and operational needs.

data integrationscalabilitydata storageThe Phia Group
2
Behavioral & Leadership5 questions · ~40 min
Explaining Technical Issues ClearlyMedium

Tests whether you can translate technical complexity into business-relevant language for non-technical stakeholders and drive action.

Stakeholder ManagementCommunicationtechnical explanationThe Phia Group
Prioritizing Conflicting Cross-Functional DeadlinesMedium

Tests prioritization under pressure, stakeholder management, and decision-making when multiple teams compete for limited analyst capacity.

Conflict Resolutiontime managementPrioritizationThe Phia Group
Owning an End-to-End ProjectEasy

Tests end-to-end ownership, leadership, and prioritization in an ambiguous project with measurable impact and reflection.

impactOwnershipProject ManagementThe Phia Group
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3
More topics1 question · ~8 min
Optimizing Slow SQL QueriesMedium

Tests your SQL performance tuning skills and ability to diagnose bottlenecks in production data systems.

Performance Tuningquery optimizationsqlThe Phia Group

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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
Top Users by Recent Transaction VolumeMedium
Practice
Practice drill

Find the top 3 users by completed transaction volume in the last 30 days using joins and aggregation.

Data Analysisquery optimizationsqlTTier 1 BankRevolutChime
The finish line: interview-readyComplete all 10 questions plus 3 hands-on drills to finish this plan.