Sphere Institute Interview Questions
Sphere Institute Interview Guides
Sphere Institute Interview Questions
Practice for the Sphere Institute 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 |
Challenge
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Sphere Institute Salaries by Position
Most data science positions fall under different position titles depending on the actual role.
From the graph we can see that on average the Data Engineer role pays the most with a $78,517 base salary while the Data Analyst role on average pays the least with a $60,357 base salary.
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