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Updated weekly · Last refresh Aug 30

Ernst & Young Advisory Services Sdn Bhd Data Engineer Interview Questions

The questions to prepare for a Ernst & Young Advisory Services Sdn Bhd Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

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1
PipelinesStart here. 10 questions · ~81 min
Data Integration Tools ExperienceEasy

Discuss the data integration tools you have used and how they fit into ETL, orchestration, and data quality workflows.

InfrastructureToolsETLErnst & Young Advisory Services Sdn Bhd
Large Dataset Analysis PipelineEasy

Discuss a large-scale data analysis project with focus on the pipeline, tooling, and data quality approach.

ToolsData ModelingQualityErnst & Young Advisory Services Sdn Bhd
Diagnose Slow Dashboard PipelinesEasy

Approach for finding and fixing a slow dashboard pipeline, from source ingestion to warehouse queries.

InfrastructureToolsQualityErnst & Young Advisory Services Sdn Bhd
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2
SQL & Data Manipulation6 questions + 3 drills · ~78 min
Structured vs Unstructured Data BasicsEasy

Explain how structured and unstructured data differ in format, storage, and how easily they can be queried with SQL.

Data WranglingETLErnst & Young Advisory Services Sdn Bhd
Normalization vs Reporting DenormalizationMedium

Explain normalization for data integrity and when denormalization is useful for faster reporting and simpler analytical queries.

performancenormalizationdata integrityErnst & Young Advisory Services Sdn Bhd
Scalable Database DesignHard

Tests database design tradeoffs for scale, performance, and maintainability.

JoinsAggregationsData ModelingErnst & Young Advisory Services Sdn Bhd
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
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3
Coding3 questions · ~24 min
Python Data Transformation FunctionMedium

Tests practical Python skills for transformations and correctness of data processing.

Hash TablesArraysStringsErnst & Young Advisory Services Sdn Bhd
Automating Data CleaningMedium

Tests ability to operationalize data cleaning with repeatable, maintainable scripts.

Hash TablesArraysStringsErnst & Young Advisory Services Sdn Bhd
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4
Behavioral & Leadership10 questions · ~81 min
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The finish line: interview-readyComplete all 29 questions plus 3 hands-on drills to finish this plan.