Practice for the Nwea 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. | ||
Machine Learning | Medium | |
Behavioral | Easy | |
SQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard | |
Machine Learning | Medium | |
Python | Easy | |
Deep Learning | Hard | |
SQL | Medium | |
Statistics | Easy | |
Machine Learning | Hard |
Check your skills...
How prepared are you for working at Nwea?
Most data science positions fall under different position titles depending on the actual role.
From the graph we can see that on average the Software Engineer role pays the most with a $107,000 base salary while the AI Research Scientist role on average pays the least with a $93,394 base salary.
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