Practice for the Northwestern Memorial Hospital interview with these recently asked interview questions.
| Question | Topic | Difficulty |
|---|---|---|
Data Pipelines | Medium | |
You work as a data engineer for a retail analytics company. You are tasked with designing a data pipeline that loads transactional data into a fact table. The requirement is that if the loading process fails partway through (for example, after successfully loading 100 out of 250 records), a rerun should resume loading from the point of failure, ensuring no duplicate records are loaded and none are missing. How would you architect this loading process? | ||
Data Structures & Algorithms | 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 |
Check your skills...
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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 $85,461 base salary while the Business Intelligence role on average pays the least with a $51,719 base salary.
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