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Publicis Groupe México Data Engineer Interview Questions

The questions to prepare for a Publicis Groupe México Data Engineer interview. Questions from real interview reports rank first. Updated daily.

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~3htotal time
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1
PipelinesStart here. 9 questions · ~72 min
Preferred ETL and Transformation ToolsEasy

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

ToolsETLELTPublicis Groupe México
Describe a Complex Transformation PipelineMedium

Explain a complex ETL transformation you built, including the main challenges and how you handled them.

ETLData ModelingQualityPublicis Groupe México
Cloud Storage in Data PipelinesEasy

Discuss how cloud storage fits into ETL pipelines, including staging, data quality, and operational monitoring.

InfrastructureETLPublicis Groupe México
Data Integration Tools ExperienceEasy

Discuss the data integration tools you have used and how they fit into ETL, orchestration, and data quality workflows.

InfrastructureToolsETLPublicis Groupe México
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualityPublicis Groupe México
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2
Behavioral & Leadership9 questions · ~72 min
Motivation and Learning in Data EngineeringEasy

Tests intrinsic motivation for data engineering and whether the candidate turns continuous learning into practical impact.

CommunicationLeadershipOwnershipPublicis Groupe México
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3
More topics2 questions · ~16 min
Optimizing Slow QueriesMedium

Tests practical performance tuning skills for queries and data processes.

performancequery optimizationPublicis Groupe México
Query Optimization Under LimitsHard

Evaluates advanced query optimization and performance engineering under strict SLAs.

Performance Tuningquery optimizationsqlPublicis Groupe México

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Window Ranking for CustomersMedium
Practice
Practice drill

Use joins, aggregation, and ROW_NUMBER to find the top three customers by category revenue.

Window Functionssql queryPublicis Groupe México
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 20 questions plus 3 hands-on drills to finish this plan.