Merit 321, Launching Careers Interview Questions

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Behavioral
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Data Pipelines
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Merit 321, Launching Careers Interview Questions

Practice for the Merit 321, Launching Careers interview with these recently asked interview questions.

QuestionTopicDifficulty
Data Pipelines
Hard

You work as a data engineer at Skyscanner. Your team is responsible for ingesting, transforming, and loading flight and hotel availability data from dozens of external partner APIs into Skyscanner’s real-time search platform. The system must ensure high data freshness, fault tolerance, and scalability as new partners are onboarded.

How would you architect the ETL pipeline to support these requirements? Design a system flow explaining this architecture.

Machine Learning
Medium
Behavioral
Easy
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