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Updated weekly · Last refresh Oct 17

Diverse Agile Solutions (DAS) Data Engineer Interview Questions

The questions to prepare for a Diverse Agile Solutions (DAS) Data Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
PipelinesStart here. 5 questions · ~40 min
Design CI/CD for Data PipelinesMedium

Design a CI/CD system for Airflow, dbt, Spark, and Kafka pipelines with automated testing, staged releases, rollback, and SOX-compliant auditability.

InfrastructureToolsOrchestrationDiverse Agile Solutions (DAS)
Debugging Production Data PipelinesMedium

A structured approach to debugging production data pipelines, with focus on orchestration, data quality, idempotency, and safe backfills.

InfrastructureToolsQualityDiverse Agile Solutions (DAS)
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityDiverse Agile Solutions (DAS)
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityDiverse Agile Solutions (DAS)
Data Platform From ScratchHard

Tests your end-to-end thinking for building scalable data platforms, including ingestion, storage, and orchestration.

project experiencesystem designdata architectureDiverse Agile Solutions (DAS)
2
Behavioral & Leadership4 questions · ~32 min
Prioritizing Competing Data RequestsMedium

Tests prioritization under pressure in a data engineering context, including stakeholder management, trade-off decisions, and ownership of outcomes.

Decision MakingStakeholder ManagementPrioritizationDiverse Agile Solutions (DAS)
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3
More topics2 questions · ~16 min
SQL Server Partitioning and IndexingMedium

Tests your ability to design and tune SQL Server storage and access patterns for faster queries.

indexingpartitioningDiverse Agile Solutions (DAS)
Optimizing Spark or Hive QueriesMedium

Tests your debugging and performance-tuning skills for distributed processing and query engines.

Performance TuningsparkDiverse Agile Solutions (DAS)

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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
The finish line: interview-readyComplete all 11 questions plus 3 hands-on drills to finish this plan.