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Updated weekly · Last refresh Aug 30
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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 weekly.

16questions
~2htotal time
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1
PipelinesStart here. 9 questions · ~72 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityeeXalt
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualityeeXalt
Choose Azure vs AWSMedium

Tests cloud selection reasoning based on requirements, constraints, and architecture tradeoffs.

Decision Makingcloud platformseeXalt
Orchestrate to Avoid BottlenecksMedium

Tests workflow orchestration, dependency management, and throughput optimization thinking.

data pipelineseeXalt
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2
Behavioral & Leadership4 questions · ~32 min
Explaining Technical Issues ClearlyMedium

Tests whether you can translate technical complexity into business-relevant language for non-technical stakeholders and drive action.

Stakeholder ManagementCommunicationtechnical explanationeeXalt
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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.