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Updated weekly · Last refresh Aug 30

Lingaro Data Engineer Interview Questions

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

15questions
~2htotal time
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1
PipelinesStart here. 8 questions · ~65 min
ETL vs ELT Trade-offsEasy

Compare ETL and ELT, and explain when ELT is the better pipeline pattern.

ETLELTData ModelingLingaro
Cloud AI Deployment Pipeline ExperienceMedium

Discuss experience building cloud-based AI pipelines, including orchestration, processing patterns, infrastructure choices, and data quality controls.

InfrastructureToolsQualityLingaro
Distributed Computing With SparkMedium

Assesses your understanding of distributed execution and how Spark maps computation across a cluster.

distributed computingsparkLingaro
Azure, SQL, and Pipeline ProcessingMedium

Assesses hands-on experience with Azure and SQL in building and operating data pipelines.

data processingsqlLingaro
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2
Behavioral & Leadership4 questions · ~33 min
Explaining Technical Concepts to ClientsEasy

Tests learning agility, client communication, and technical credibility when translating complex concepts into clear client-facing guidance.

backgroundpreparationtechnical knowledgeLingaro
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3
More topics3 questions · ~24 min
Query Optimization in BigQuery or SQL ServerMedium

Assesses practical SQL optimization techniques and how you apply them in cloud or enterprise databases.

Performance Tuningquery optimizationLingaro
Python and Azure Data ToolsMedium

Evaluates your ability to apply Python patterns and Azure tooling to implement maintainable pipelines.

pythonsparkLingaro
Tuning Slow Queries at ScaleHard

Tests your query tuning workflow, including diagnosis, indexing, and performance validation.

performance optimizationsqlLingaro

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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
Top Users by Recent Transaction VolumeMedium
Practice
Practice drill

Find the top 3 users by completed transaction volume in the last 30 days using joins and aggregation.

Data Analysisquery optimizationsqlTTier 1 BankRevolutChime
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
The finish line: interview-readyComplete all 15 questions plus 3 hands-on drills to finish this plan.