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Updated weekly · Last refresh Aug 30

Jpmorgan Chase & Data Engineer Interview Questions

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

15questions
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1
CodingStart here. 6 questions · ~50 min
Narrow vs Wide TransformationsMedium

Explain narrow vs wide transformations, how dependencies differ, and why wide transformations trigger network shuffle.

abstractionsparkshufflesJpmorgan Chase &
Choosing AWS Data ServicesMedium

Tests cloud architecture tradeoffs and service selection for data platforms.

awsJpmorgan Chase &
Fixing Spark Data SkewMedium

Tests ability to identify and mitigate Spark skew to improve performance.

Performance Tuningdata processingsparkJpmorgan Chase &
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2
Pipelines3 questions · ~25 min
Pipeline Architecture for JPMorganHard

Evaluates your ability to design and document scalable pipeline architecture for JPMorgan Chase & data needs.

documentationarchitectureJpmorgan Chase &
PySpark Transformations and ETLMedium

Assesses practical PySpark transformation skills and optimization techniques in real pipeline work.

pysparkprojectsJpmorgan Chase &
SQL SCD Type 2 and Data ReshapingHard

Evaluates your ability to implement SCD Type 2 in SQL and perform complex pandas data shaping.

pandassqlpythonJpmorgan Chase &
3
Behavioral & Leadership5 questions · ~42 min
Balancing Release Speed and SecurityMedium

Tests judgment in balancing delivery speed with security controls, including risk-based decision-making, ownership, and communication.

Decision Makingsystem securitydelivery speedJpmorgan Chase &
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4
More topics1 question · ~8 min
Performance Tuning Complex SQLMedium

Tests ability to diagnose and optimize SQL performance at scale.

Performance Tuningquery optimizationsqlJpmorgan Chase &

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Analyze Customer Purchase Trends with Window FunctionsEasy
Practice
Recently asked
Practice drill

Calculate the monthly spending trends for customers using window functions and joins.

The Home DepotAvisoWorld Wide Technology
SQL Bookstore Schema PracticeEasy
Practice
Practice drill

Use a CTE, joins, and distinct aggregates to calculate Meta Logistics bookstore payment metrics.

sql queriessqlpythonMeta Logistics
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
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