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Top 12
Prep plan
Updated weekly · Last refresh Sep 21
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ShowTime Consulting Data Engineer Interview Questions

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

12questions
~2htotal time
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1
PipelinesStart here. 5 questions · ~40 min
Optimize a Pipeline BottleneckMedium

Explain how you identified and fixed a bottleneck in a data pipeline while preserving correctness and operational visibility.

data processingperformancebottleneck optimizationSShowTime Consulting
Batch vs Streaming Data ProcessingEasy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch ProcessingSShowTime Consulting
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualitySShowTime Consulting
Optimize Data Ingestion PipelinesMedium

Tests your approach to improving ingestion throughput, reliability, and cost for large datasets on GCP.

data ingestionoptimizationSShowTime Consulting
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2
Behavioral & Leadership4 questions · ~32 min
Explaining Technical Concepts to ClientsEasy

Tests client-facing communication: simplifying technical concepts, tailoring the message, and driving a business outcome.

Technical Fluencyjavascripttechnical experienceSShowTime Consulting
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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 BySShowTime Consulting
Cloud Security and Data GovernanceMedium

Evaluates your ability to implement secure data access, controls, and governance in cloud environments.

cloud securityexperienceSShowTime Consulting
Distributed Query Performance TuningMedium

Assesses your understanding of distributed execution and performance bottlenecks.

Performance Tuningquery optimizationSShowTime Consulting

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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 Customers by Net SalesMedium
Practice
Practice drill

Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.

SubqueriesJoinsData WranglingGain DigitalTCSZest AI
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 12 questions plus 3 hands-on drills to finish this plan.