Practice for the Skyscanner interview with these recently asked interview questions.
| Question | Topic | Difficulty |
|---|---|---|
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. | ||
SQL | Medium | |
A/B Testing | Medium | |
SQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard | |
Machine Learning | Medium | |
Python | Easy | |
Deep Learning | Hard | |
SQL | Medium | |
Statistics | Easy | |
Machine Learning | Hard |
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