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Updated weekly · Last refresh Oct 17

Inspire11 Data Engineer Interview Questions

The questions to prepare for a Inspire11 Data Engineer interview. Questions from real interview reports rank first. Updated daily.

12questions
~2htotal time
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1
PipelinesStart here. 10 questions · ~80 min
Design an ETL Pipeline for Large DatasetsMedium

Design an ETL pipeline to process 10TB of data daily from multiple sources into a data warehouse with strict data quality checks.

InfrastructureETLData ModelingInspire11
Batch vs Stream Processing Trade-offsMedium

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLInspire11
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityInspire11
Explaining Cloud Architecture Trade-OffsMedium

Tests reasoning and communication of architectural trade-offs to drive alignment and outcomes.

InfrastructureData ModelingQualityInspire11
Phasing On-Prem to Cloud MigrationHard

Tests migration planning, risk management, and operational continuity for cloud transitions.

SchedulingDependenciesBackfillingInspire11
Designing or Improving ETL/ELT PipelinesMedium

Tests practical pipeline design skills including transformations, orchestration, and data quality.

ETLOrchestrationELTInspire11
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2
More topics2 questions · ~16 min
SQL Join Query OptimizationHard

Tests ability to diagnose and optimize complex SQL performance for large-scale analytics workloads.

Joinsquery optimizationAggregationsInspire11
Handling Interview SchedulingEasy

Assesses how you manage time-sensitive coordination and pressure.

interview processInspire11

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top 5 Customers by RegionMedium
Practice
Practice drill

Use aggregation and ranking to return the five highest-revenue customers within each region.

Joinssql queryGroup ByCitiInspire11
Handling Missing DataMedium
Practice
Practice drill

Standardize missing observation fields with fallback values, missingness flags, and ordered output.

Window Functionsmissing valuesdata cleaningEversource EnergyCincinnati Children's HospitalAdtalem Global Education
Running Total With Window FunctionsEasy
Practice
Practice drill

Calculate each user's running order total over time using a window function.

Window FunctionsDate FunctionsRunning TotalsBayerSparksoftWestern Digital
The finish line: interview-readyComplete all 12 questions plus 3 hands-on drills to finish this plan.