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Updated weekly · Last refresh Aug 30

Swish Analytics Software Engineer Interview Questions

The questions to prepare for a Swish Analytics Software Engineer interview. Questions from real interview reports rank first. Updated weekly.

23questions
~3htotal time
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1
CodingStart here. 3 questions · ~24 min
State Management for Live FeedsMedium

Tests your approach to state management and UI correctness under high-frequency updates in Swish Analytics.

network requestsstate managementperformance analysisSwish Analytics
React Real-Time Data TableHard

Tests your React performance skills for rendering high-frequency real-time data in Swish Analytics products.

reactjson parsingperformance analysisSwish Analytics
D3 With React Sports VisualsMedium

Tests your ability to build interactive visualizations for complex sports analytics datasets using D3 and React.

javascriptdata visualizationFrameworksSwish Analytics
2
Behavioral & Leadership15 questions · ~120 min
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3
More topics5 questions · ~40 min
Race Conditions in Odds UpdatesHard

Tests your concurrency control and data consistency strategies for live odds updates in Swish Analytics.

transactionsdata integrityconcurrencySwish Analytics
Backend for Real-Time FeedsHard

Tests your ability to build reliable ingestion pipelines for real-time sports data at Swish Analytics.

Data Qualitydata integrationvalidationSwish Analytics
Secure AWS for Sports APIHard

Tests your ability to design secure, highly available AWS architectures for Swish Analytics sports analytics APIs.

Cloud Security Riskshigh availabilityarchitectureSwish Analytics
Optimizing MySQL for HistoryHard

Tests your SQL tuning skills for large-scale sports statistics workloads at Swish Analytics.

Performance TuningindexessqlSwish Analytics
Dockerize Node and Python ServicesMedium

Tests your ability to package and deploy multi-service applications reliably with Docker for Swish Analytics.

dockerOrchestrationCloudSwish Analytics

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top-Performing Products QueryMedium
Practice
Practice drill

Rank Tesco products by Q2 revenue using a date-filtered join, aggregation, and RANK window function.

sqlperformance analysisTTesco
Top-Performing Segments QueryMedium
Practice
Practice drill

Rank Volkswagen Group Italia product segments by quarterly revenue over the latest three quarters using joins, aggregation, and RANK().

sqlperformance analysisVolkswagen Group Italia
SQL Query for Top ProductsMedium
Practice
Practice drill

Rank Natural Intelligence products by completed revenue in the last completed quarter using joins, aggregation, and a date CTE.

sql queryperformance analysisNatural Intelligence
The finish line: interview-readyComplete all 23 questions plus 3 hands-on drills to finish this plan.