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Updated weekly · Last refresh Sep 23
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DBS Bank Data Engineer Interview Questions

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

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1
Technical FundamentalsStart here. 3 questions · ~24 min
Pandas vs PySpark ScalabilityMedium

Assesses your ability to compare local vs distributed data processing approaches.

pysparkpandasscalabilityDDBS Bank
Distributed Data Performance OptimizationMedium

Evaluates strategies for improving throughput, latency, and resource efficiency in distributed systems.

performance optimizationdata engineeringDDBS Bank
Spark Architecture Deep DiveHard

Tests deep understanding of Spark internals and how optimizations impact distributed execution.

memory managementDDBS Bank
2
More topics4 questions · ~32 min
Left vs Right JoinEasy

Assesses understanding of SQL join semantics and result sets.

JoinssqlDDBS Bank
Modeling Heterogeneous DataMedium

Assesses how you design robust ingestion and modeling for mixed data formats.

data preparationData ModelingDDBS Bank
Handling Technical RoadblocksMedium

Evaluates problem-solving process, prioritization, and execution under technical uncertainty.

CommunicationProblem SolvingDDBS Bank
Walk Through Your ExperienceEasy

Assesses your ability to clearly summarize relevant experience and impact.

Communicationcareer growthprofessional experienceDDBS Bank

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL and Data ModelingEasy
Practice
Practice drill

Demonstrate professional SQL skills by combining modeled tables and summarizing completed activity for active entities.

Joinssqldatabase designMedpace
SQL Self Joins and ExplodeMedium
Practice
Practice drill

Transform comma-separated employee tags, join employees to managers, and aggregate active direct reports by manager and tag.

pysparkaggregationJoinsTredence
Project Overview with SQL and PySparkMedium
Practice
Practice drill

Identify department maximum salaries, rank ties, and count assigned projects using PostgreSQL joins and window functions.

pysparkdata processingJoinsIBM
The finish line: interview-readyComplete all 7 questions plus 3 hands-on drills to finish this plan.