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Prep plan
Updated weekly · Last refresh Oct 17

Hanwha Group Data Engineer Interview Questions

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

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1
CodingStart here. 5 questions · ~49 min
Merge Two Sorted Linked ListsEasy
Practice

Merge two sorted singly linked lists into one sorted list by relinking existing nodes.

RecursionLinked ListsSortingHanwha Group
Quick Lookup Data StructureMedium

Tests understanding of data structures and tradeoffs for fast record retrieval.

Hash TablesArraysSearchingHanwha Group
Transforming Data FormatsEasy

Tests practical data transformation skills and attention to schema and edge cases.

ArraysData WranglingStringsHanwha Group
Efficient Duplicate DetectionMedium

Tests algorithm selection and scalability for deduplication on large datasets.

Hash TablesArraysSearchingHanwha Group
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2
Pipelines17 questions · ~167 min
Optimize Slow Spark ETL PipelineHard

Redesign a slow Databricks Spark ETL pipeline to cut runtime from 3 hours to under 60 minutes without breaking data quality or SLAs.

Hanwha Group
Diagnose an Integration Pipeline IssueMedium

Structured approach to diagnose failures in an ETL integration, from source extraction through orchestration, data quality, and idempotent recovery.

ToolsDependenciesQualityHanwha Group
Real-Time Dashboard Data PipelineMedium

Design a streaming pipeline that keeps dashboard data fresh and accurate for operational reporting.

InfrastructureStream ProcessingOrchestrationHanwha Group
Monitoring Tools for Data PipelinesEasy

Preferred tools and approach for monitoring and managing data pipelines in production.

InfrastructureToolsQualityHanwha Group
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