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Updated weekly · Last refresh Aug 30

AKUNA CAPITAL Data Engineer Interview Questions

The questions to prepare for a AKUNA CAPITAL Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

31questions
~4htotal time
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1
PipelinesStart here. 20 questions · ~172 min
Design Scalable Pipeline InfrastructureHard

Design the core pipeline infrastructure for a new project, with attention to orchestration, data quality, idempotency, and future scale.

InfrastructureToolsQualityAKUNA CAPITAL
Prototype Big Data ToolsEasy

Tests evaluation and prototyping approach for productionizing big data tooling in AKUNA CAPITAL.

InfrastructureToolsQualityAKUNA CAPITAL
Time-Series vs Parquet TradeoffsMedium

Tests storage tradeoff reasoning for AKUNA CAPITAL backtesting workloads and query patterns.

InfrastructureBatch ProcessingData ModelingAKUNA CAPITAL
Microsecond Latency DesignHard

Tests low-latency architecture thinking for AKUNA CAPITAL market data and analytics systems.

InfrastructureStream ProcessingQualityAKUNA CAPITAL
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2
Coding10 questions · ~86 min
Time and Space ComplexityEasy

Tests algorithm analysis skills for large-scale AKUNA CAPITAL data processing.

ArraysSortingGreedyAKUNA CAPITAL
Fixing Python Out of MemoryHard

Tests performance engineering and memory optimization for large AKUNA CAPITAL data workloads.

Hash TablesArraysSortingAKUNA CAPITAL
Parsing Trade Logs RobustlyMedium

Tests data cleaning strategy and resilience when ingesting messy trading data for AKUNA CAPITAL.

Hash TablesArraysStringsAKUNA CAPITAL
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3
More topics1 question · ~9 min
Optimize Join With Corporate ActionsHard

Tests query optimization and execution planning for large-scale market data joins.

Joinsquery optimizationAggregationsAKUNA CAPITAL
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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
The finish line: interview-readyComplete all 31 questions plus 3 hands-on drills to finish this plan.