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Updated weekly · Last refresh Oct 17

Susquehanna International Group Data Engineer Interview Questions

The questions to prepare for a Susquehanna International Group Data Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
CodingStart here. 4 questions · ~34 min
Python Memory Management and GCMedium

Explain Python reference counting, cyclic garbage collection, and how memory is reclaimed.

memory managementbasicspythonSusquehanna International Group
Python Decorators and Timing WrapperMedium

Explain how Python decorators wrap functions and implement a custom decorator that logs execution time.

functionsdecoratorspythonSusquehanna International Group
Generator vs List ComprehensionMedium

Compare generator expressions and list comprehensions by memory usage, execution model, and when each is preferable.

memory managementloopspythonSusquehanna International Group
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2
Pipelines4 questions · ~34 min
Choosing Row vs Column FormatsMedium

How to choose between row-oriented and column-oriented formats across different stages of a data pipeline.

performanceCloudData ModelingSusquehanna International Group
Production Pipeline Quality MonitoringMedium

Approach for adding data quality checks, observability, and production monitoring to a data pipeline.

Data QualitymonitoringobservabilitySusquehanna International Group
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3
Technical Fundamentals3 questions · ~25 min
Pandas Internals and MemoryHard

Explain how pandas BlockManager groups columns by dtype and how consolidation, copies, views, and dtype changes affect DataFrame memory.

memory managementpandastechnical fundamentalsSusquehanna International Group
Optimizing Slow Pandas Row OpsHard

Optimize million-row Pandas calculations by replacing Python row loops with vectorized operations, while managing memory, profiling, and unavoidable cus...

cpu utilizationpandasperformanceSusquehanna International Group
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4
Behavioral & Leadership5 questions · ~42 min
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5
More topics1 question · ~8 min
Optimizing Large Transaction Table JoinsHard

Explain how to tune a slow PostgreSQL query that joins several large transaction tables using indexes, join strategy, and partitioning.

JoinsperformancesqlSusquehanna International Group
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 17 questions plus 3 hands-on drills to finish this plan.