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Updated weekly · Last refresh Oct 17

Ernst & Young Data Engineer Interview Questions

The questions to prepare for a Ernst & Young Data Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
SQL & Data ManipulationStart here. 12 questions + 2 drills · ~129 min
Python and SQL Query WorkMedium
Recently asked

Tests your practical understanding of combining Python with SQL for reliable data engineering.

sql queriespythonErnst & Young
Use WHERE vs HAVINGEasy
Recently asked

Tests correct SQL filtering semantics and when each clause applies.

query optimizationsqlfilteringErnst & Young
Write Subquery Extraction QueryMedium
Recently asked

Tests SQL composition skills for nested queries and targeted record extraction.

SubqueriessqlErnst & Young
Optimizing Poorly Performing SQLHard
Practice
Recently asked
Practice drill

Optimize a PostgreSQL reporting query by reducing scanned rows, preserving unmatched records, and selecting the latest related review efficiently.

database optimizationlarge datasetsperformancePPriority Technology Holdings, LLCZillowOne
SQL Window Functions ExperienceMedium
Practice
Recently asked
Practice drill

Use SQL window functions to rank regions by average 2024 yield within each country.

Window FunctionsJoinsData ManipulationErnst & YoungKBRMaximus Tech
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2
Coding5 questions · ~45 min
Pandas DataFrame ManipulationMedium
Recently asked

Tests practical Pandas skills for transforming and preparing data for analytics.

pandasData ManipulationpythonErnst & Young
Tuple vs ListEasy
Recently asked

Tests basic Python data structure knowledge relevant to data engineering.

Data StructurespythonErnst & Young
Append vs Extend in Python ListsEasy
Recently asked

Tests understanding of Python list operations and their impact on data structures.

listspythonErnst & Young
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3
Behavioral & Leadership13 questions · ~118 min
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4
More topics2 questions · ~18 min
Resolve an Architecture ProblemMedium
Recently asked

Evaluates your ability to reason about data architecture and communicate decisions.

project experiencearchitectureErnst & Young
Extract and Transform Heterogeneous DataMedium
Recently asked

Tests ability to build robust ETL logic for mixed source formats and schemas.

pythondata extractionErnst & Young

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