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Updated weekly · Last refresh Oct 17

Cloud Big Data Technologies Software Engineer Interview Questions

The questions to prepare for a Cloud Big Data Technologies Software Engineer interview. Questions from real interview reports rank first. Updated daily.

50questions
~10htotal time
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1
System DesignStart here. 16 questions · ~194 min
Dynamic Connectivity SystemHard
Recently asked

Evaluates your system design and data structure choices for dynamic graph connectivity.

system designCloud Big Data Technologies
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2
Coding17 questions · ~206 min
String Expression SimplificationMedium
Practice
Recently asked

Remove nested parentheses from a plus-and-minus expression by propagating signs with a stack.

string manipulationData StructuresAlgorithmsCloud Big Data Technologies
2D Word SearchHard
Practice
Recently asked

Find dictionary words in a letter board using a trie, depth-first search, and backtracking.

GraphsCloud Big Data Technologies
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3
Pipelines6 questions · ~73 min
Design an ETL Pipeline for Large DatasetsMedium
Recently asked

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

InfrastructureETLData ModelingCloud Big Data Technologies
Design Scalable Pipeline InfrastructureHard
Recently asked

Design the core pipeline infrastructure for a new project, with attention to orchestration, data quality, idempotency, and future scale.

InfrastructureToolsQualityCloud Big Data Technologies
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4
Execution4 questions · ~48 min
Handling Performance DropsMedium
Recently asked

Tests your incident triage, performance diagnosis, and remediation approach for Cloud Big Data Technologies systems.

Trade-offsRisk AssessmentScope ManagementCloud Big Data Technologies
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5
Behavioral & Leadership4 questions · ~48 min
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6
More topics3 questions · ~36 min
Structured vs Unstructured Data BasicsEasy
Recently asked

Explain how structured and unstructured data differ in format, storage, and how easily they can be queried with SQL.

Data WranglingETLCloud Big Data Technologies
Optics and EDFA FundamentalsHard
Recently asked

Assesses depth of knowledge in optics and amplification fundamentals.

Cloud Big Data Technologies
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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
Cleaning a Messy DatasetMedium
Practice
Practice drill

Filter invalid game events and normalize event names using PostgreSQL string and null handling.

missing valuesdata cleaningnull handlingQuantiumScopelyCarvana
The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.