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Updated weekly · Last refresh Aug 30

OWKIN Data Engineer Interview Questions

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

28questions
~4htotal time
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1
CodingStart here. 4 questions · ~35 min
Deduplicating Dataset RecordsMedium
Practice

Use a hash map to retain the latest Hertz fleet event for each composite event key while preserving input order.

Hash TablesArraysSortingOWKIN
Map-Reduce Average CalculationHard

Tests your understanding of distributed computation patterns and correctness of aggregation logic.

MathArraysSortingOWKIN
Algorithm Complexity in Data ProcessingEasy

Tests your ability to reason about performance and scalability when processing large datasets.

ArraysSearchingSortingOWKIN
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2
Pipelines22 questions · ~191 min
Privacy Compliance in Data PipelinesMedium

Approach for building privacy controls, lineage, and auditability into data pipelines that handle personal data.

Compliancedata privacyPipelinesOWKIN
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityOWKIN
Real-Time Dashboard Data PipelineMedium

Design a streaming pipeline that keeps dashboard data fresh and accurate for operational reporting.

InfrastructureStream ProcessingOrchestrationOWKIN
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3
More topics2 questions · ~17 min
SQL Query OptimizationMedium

Tests your approach to diagnosing and improving SQL performance.

Performance TuningsqlOWKIN
SQL Join Types and Use CasesEasy

Tests your SQL fundamentals and your ability to choose the right join semantics for data modeling.

JoinsData WranglingGroup ByOWKIN
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 28 questions plus 3 hands-on drills to finish this plan.