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Updated weekly · Last refresh Aug 30

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 weekly.

50questions
~9htotal time
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1
CodingStart here. 17 questions · ~189 min
Longest Substring Without RepeatsMedium
Practice
Recently asked

Find the longest substring with all unique characters using a sliding window.

Hash TablesStringsTwo PointersCloud Big Data Technologies
Trapping Rain WaterEasy
Practice

Compute water trapped between elevation bars using an O(n) two-pointer scan with constant extra space.

StackArraysTwo PointersCloud Big Data Technologies
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2
Pipelines6 questions · ~67 min
Data Quality in ETL PipelinesEasy
Recently asked

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityCloud Big Data Technologies
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
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3
Execution4 questions · ~45 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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4
System Design15 questions · ~167 min
Scalable System for Millions of RequestsHard

Evaluates system design thinking for high request volume and scalability constraints.

Cloud Big Data Technologies
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5
Behavioral & Leadership4 questions · ~45 min
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6
More topics4 questions · ~45 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
Virtual Address TranslationMedium

Evaluates your understanding of core systems concepts relevant to infrastructure and performance.

os internalsCloud 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
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 50 questions plus 3 hands-on drills to finish this plan.