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Updated weekly · Last refresh Aug 30

Okx Data Engineer Interview Questions

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

39questions
~5htotal time
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1
PipelinesStart here. 19 questions · ~152 min
Fault Tolerance in Data PipelinesHard

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

InfrastructureIdempotencyQualityOkx
Choose Kafka vs FlinkEasy

Design a streaming pipeline and justify when Kafka, Flink, or both should be used for ingestion, stateful processing, replay, and low-latency delivery.

Stream ProcessingOrchestrationDependenciesOkx
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityOkx
Pipeline Alerting and Monitoring DesignMedium

Set up pipeline monitoring and alerting that catches critical failures quickly while limiting noisy alerts.

InfrastructureToolsQualityOkx
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2
SQL & Data Manipulation3 questions + 3 drills · ~54 min
Consistency and Correctness in Distributed SystemsHard

Tests your understanding of correctness guarantees, coordination, and data validation in distributed setups.

distributed systemsconsistencydata integrityOkx
Optimize Queries for Massive DataHard

Tests your skills in query planning, indexing/partitioning, and performance diagnostics.

Performance Tuninglarge datasetsquery optimizationOkx
Distributed Data ConsistencyHard

Tests your understanding of consistency models, transactions, and coordination in distributed systems.

Reconciliationdistributed databasesdata integrityOkx
7-Day Rolling Active UsersMedium
Practice
Practice drill

Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.

Window FunctionsDate FunctionsRunning TotalsMetaSpotifyMeta IT
SQL for Top Trading UsersMedium
Practice
Practice drill

Use aggregation and NTILE to identify the top 10% of OKX users by 30-day trading volume.

sql queryData AnalysisOkx
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

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3
Behavioral & Leadership17 questions · ~136 min
Explaining Technical Trade-offs ClearlyMedium

Tests whether you can translate complex engineering trade-offs into clear business decisions for non-technical stakeholders.

technical communicationTrade-offsStakeholder ManagementOkx
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The finish line: interview-readyComplete all 39 questions plus 3 hands-on drills to finish this plan.