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Amex GBT Data Engineer Interview Questions

The questions to prepare for a Amex GBT Data Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
PipelinesStart here. 3 questions · ~25 min
CRM Data Migration RisksHard

Identify the main pipeline risks in CRM data migration and the controls needed to move data safely and accurately.

ETLData ModelingQualityAAmex GBT
Design an End-to-End Data PipelineMedium

Approach for designing an end-to-end data pipeline from ingestion through transformation, storage, and downstream consumption.

data pipelinedesigningestionAAmex GBT
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualityAAmex GBT
2
More topics5 questions · ~41 min
Optimizing Slow Queries at ScaleHard

Explain how to diagnose and optimize a slow PostgreSQL query on large Apidel Technologies datasets.

SubqueriesJoinsData WranglingAAmex GBT
Most Complex Data ArchitectureMedium

Assesses your system design judgment under real-world constraints.

data architecturetechnical experienceAAmex GBT
Clean, Maintainable, Scalable CodeEasy

Tests your coding standards and long-term maintainability thinking.

Hash TablesArraysAAmex GBT
Data Consistency in Distributed SystemsHard

Tests your understanding of distributed consistency models and correctness strategies.

distributed systemsdata consistencyarchitectureAAmex GBT
Domain Experience OverviewEasy

Assesses your depth of relevant data engineering experience.

experiencecareer growthdata engineeringAAmex GBT

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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
Cleaning a Messy DatasetMedium
Practice
Practice drill

Filter invalid game events and normalize event names using PostgreSQL string and null handling.

missing valuesdata cleaningnull handlingQuantiumScopelyCarvana
The finish line: interview-readyComplete all 8 questions plus 3 hands-on drills to finish this plan.