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Updated weekly · Last refresh Oct 17
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eXalt Data Engineer Interview Questions

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

16questions
~2htotal time
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1
PipelinesStart here. 9 questions · ~72 min
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualityeeXalt
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityeeXalt
Spark Action vs TransformationMedium

Assesses understanding of Spark execution semantics and how actions trigger computation.

data processingsparkeeXalt
Rebuild a Spark ProjectMedium

Assesses your ability to refactor Spark pipelines and validate correctness and performance.

sparkeeXalt
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2
Behavioral & Leadership4 questions · ~32 min
Prioritizing Multiple Client DeliverablesEasy

Tests prioritization under pressure, organization, and proactive stakeholder communication across multiple concurrent client projects.

time managementorganizationProject ManagementeeXalt
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3
More topics3 questions · ~24 min
Star vs Snowflake for Sales AnalyticsMedium

Compare star and snowflake schemas for warehouse design, including trade-offs in normalization, query simplicity, and analytics performance.

JoinsData WranglingGroup ByeeXalt
Build and Present a Spark KataMedium

Evaluates hands-on Spark problem solving and ability to communicate technical tradeoffs.

project presentationeeXalt
dbt vs Stored ProceduresMedium

Tests your understanding of modern data transformation tooling and tradeoffs for maintainable pipelines.

stored procedureseeXalt

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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
Resolve Conflicting Customer AttributesMedium
Practice
Practice drill

Use joins, CTEs, and row ranking to resolve conflicting customer profile values across ACME House systems.

JoinsData WranglingQualityRamsey SolutionsACME House
Reconcile Conflicting Invoice TotalsMedium
Practice
Practice drill

Reconcile billing and ERP invoice totals using joins, a CTE for latest snapshots, and CASE-based discrepancy classification.

JoinsData WranglingQualityLiterati
The finish line: interview-readyComplete all 16 questions plus 3 hands-on drills to finish this plan.