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Goldman Sachs Asset & Wealth Management Data Engineer Interview Questions

The questions to prepare for a Goldman Sachs Asset & Wealth Management Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

46questions
~7htotal time
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1
CodingStart here. 6 questions · ~53 min
Top K Frequent Items Data StructureHard
Practice

Maintain changing item frequencies and return the top K items using a hash map and lazy min-heap.

Data Structurestop kHeapGoldman Sachs Asset & Wealth Management
Flatten Nested Portfolio JSONMedium
Practice

Use recursive depth-first traversal to convert nested portfolio holdings into dot-delimited leaf paths.

function implementationjson parsingnested dictionariesGoldman Sachs Asset & Wealth Management
Explain Solution Time ComplexityEasy
Recently asked

Explain how to analyze an algorithm’s time and space complexity and justify the result from the code structure.

Hash TablesSearchingSortingGoldman Sachs Asset & Wealth Management
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2
Pipelines21 questions · ~186 min
Debugging Production Data PipelinesMedium
Recently asked

A structured approach to debugging production data pipelines, with focus on orchestration, data quality, idempotency, and safe backfills.

InfrastructureToolsQualityGoldman Sachs Asset & Wealth Management
Data Quality in ML PipelinesMedium
Recently asked

Practical approach for maintaining data quality across ML ETL pipelines, orchestration, and repeatable data processing.

Data QualityETLData ModelingGoldman Sachs Asset & Wealth Management
Fault Tolerance in Data PipelinesHard
Recently asked

Approach for building fault tolerance into a distributed data pipeline, including retries, idempotency, and recovery controls.

InfrastructureIdempotencyQualityGoldman Sachs Asset & Wealth Management
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3
SQL & Data Manipulation7 questions + 3 drills · ~92 min
SQL vs NoSQL Trade-offsEasy
Recently asked

Explain SQL vs NoSQL trade-offs, including schema design, consistency, scaling, and query flexibility.

JoinsData WranglingAggregationsGoldman Sachs Asset & Wealth Management
Schema for Asset Allocation HistoryHard

Evaluates your ability to model time-varying portfolio allocation data for analytics and reporting.

financial dataschema designRunning TotalsGoldman Sachs Asset & Wealth Management
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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4
Behavioral & Leadership12 questions · ~106 min
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The finish line: interview-readyComplete all 46 questions plus 3 hands-on drills to finish this plan.