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Torq Interview Questions

The questions to prepare for Torq interviews, across all roles. Questions from real interview reports rank first. Updated weekly.

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1
PipelinesStart here. 9 questions · ~73 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityTorq
Batch vs Stream Processing Trade-offsMedium

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

InfrastructureStream ProcessingETLTorq
ETL vs ELT Trade-offsEasy

Compare ETL and ELT, and explain when ELT is the better pipeline pattern.

ETLELTData ModelingTorq
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2
Execution5 questions · ~40 min
Handling Technical Objections to AutomationMedium

Tests objection handling with technical buyers and your ability to drive consensus.

objection handlingStakeholder ManagementTorq
Prioritizing Your Enterprise PipelineMedium

Tests deal prioritization, forecasting discipline, and how you manage multiple enterprise opportunities.

pipeline managementsales strategyPrioritizationTorq
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3
Behavioral & Leadership11 questions · ~89 min
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4
More topics3 questions · ~24 min
Python Data Cleaning ScriptMedium

Tests ability to build reliable data processing code with cleaning and validation steps.

Hash TablesStringsSortingTorq
Optimizing a Slow SQL QueryHard

Tests performance troubleshooting using query plans, indexing, and query rewrites.

SubqueriesJoinsData WranglingTorq
SQL Metrics ExtractionMedium

Tests practical SQL skills for aggregations, filtering, and metric extraction.

Data WranglingGroup ByAggregationsTorq
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
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
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
The finish line: interview-readyComplete all 28 questions plus 3 hands-on drills to finish this plan.