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Metyis Data Engineer Interview Questions

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

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1
PipelinesStart here. 4 questions · ~32 min
Azure and Cloud-Native AppsHard

Explain your experience building Azure-based, cloud-native data pipelines and the design decisions behind them.

InfrastructureToolsdata pipelinesMMetyis
Optimize Spark for Performance and CostHard

Explain how to diagnose Spark bottlenecks and reduce runtime and infrastructure cost without compromising correctness.

distributed computingInfrastructurebottleneck optimizationMMetyis
Batch vs Streaming ArchitecturesHard

Explain batch and streaming architectures and select the appropriate approach for Barclays data workloads.

Stream Processingdata pipelinesdata latencyMMetyis
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityMMetyis
2
More topics1 question · ~8 min
Window Ranking in Ticket QueuesMedium

Explain SQL window functions and when to use ROW_NUMBER() versus DENSE_RANK() for ranked ticket analysis.

Window FunctionsRankingrow_numberMMetyis

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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
Cleaning a Messy DatasetMedium
Practice
Practice drill

Filter invalid game events and normalize event names using PostgreSQL string and null handling.

missing valuesdata cleaningnull handlingQuantiumScopelyCarvana
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