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Prep plan
Updated weekly · Last refresh Oct 17

LTM Data Engineer Interview Questions

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

19questions
~3htotal time
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1
SQL & Data ManipulationStart here. 3 questions + 2 drills · ~46 min
SQL Query OptimizationMedium
Practice

Optimize a slow PostgreSQL query that aggregates completed transactions while preserving customers with no matching activity.

Performance Tuningdatabase optimizationindexesLTM
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 ByLTM
Parquet vs Avro Trade-offsMedium

Tests understanding of file formats and how to choose them for performance, schema evolution, and interoperability.

data engineeringLTM
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
2
Pipelines10 questions · ~86 min
Cross-Cloud Data Movement DesignMedium

Key design considerations for moving data across cloud environments or regions.

data transferconsiderationscloud environmentsLTM
Design Real-Time Feedback Ingestion PipelineMedium

Design a real-time pipeline for ingesting human feedback events with validation, replay, and support for evolving schemas.

data pipelinereal-time ingestiondata architectureLTM
Monitor a Mission Critical PipelineMedium

Design a monitoring and alerting approach for a mission critical pipeline, covering system health, data quality, and operational response.

InfrastructureToolsQualityLTM
Fault Tolerance in Data PipelinesHard

Approach for building fault tolerance into a distributed data pipeline, including retries, idempotency, and recovery controls.

InfrastructureIdempotencyQualityLTM
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3
Behavioral & Leadership6 questions · ~52 min
Overcoming a Technical Data RoadblockMedium

Tests ownership under ambiguity when a data project hits a technical blocker, including diagnosis, stakeholder communication, and recovery.

resilienceProblem Solvingtechnical experienceLTM
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The finish line: interview-readyComplete all 19 questions plus 2 hands-on drills to finish this plan.