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HERE Technologies Interview Questions

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

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1
CodingStart here. 5 questions · ~51 min
2
SQL & Data Manipulation5 questions + 1 drill · ~61 min
3
Pipelines5 questions · ~51 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityHERE Technologies
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4
Machine Learning3 questions · ~31 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffHERE Technologies
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5
Metrics6 questions · ~62 min
Using Metrics to Drive DecisionsEasy

Explain how you used a KPI and supporting metrics to diagnose a product issue and make a concrete product decision.

Funnel AnalysisKPIsLeading IndicatorsHERE Technologies
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6
Execution6 questions · ~62 min
Prioritize Across Competing Data ProjectsEasy

Explain how you prioritize across multiple concurrent data engineering projects with competing stakeholder needs and limited capacity.

Trade-offsRoadmappingScope ManagementHERE Technologies
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7
More topics20 questions · ~205 min
Use User Feedback to Improve ProductMedium

Tell the story of using user feedback to identify the right product change and make the improvement.

User ResearchFeature PrioritizationUser NeedsHERE Technologies
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingHERE Technologies
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