Top 25
Prep plan
Updated weekly · Last refresh Aug 30

Scalable Capital Data Engineer Interview Questions

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

25questions
~3htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 3 drills · ~62 min
2
Pipelines7 questions · ~56 min
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualityScalable Capital
Secure AWS Pipeline Access DesignMedium

Approach for applying least privilege and security controls to an AWS-based data pipeline infrastructure.

InfrastructureSecurityQualityScalable Capital
GDPR Deletion or Masking PipelineHard

Tests GDPR-compliant data governance design for transactional data lakes.

Data QualityAutomationScalable Capital
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3
Behavioral & Leadership12 questions · ~96 min
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4
More topics2 questions · ~16 min
Custom PySpark Transformer for Data QualityHard

Tests advanced PySpark design for robust data quality handling in financial datasets.

Data WranglingpythonsparkScalable Capital
Parse and Aggregate Nested JSONMedium

Tests practical data engineering skills for transforming nested API data into lake-ready datasets.

json parsingData WranglingpythonScalable Capital
The finish line: interview-readyComplete all 25 questions plus 3 hands-on drills to finish this plan.