Interviewing for any technical position generally requires preparing, studying, and long, all-day interviews.
Data engineering and data science interviews, like other technical interviews, require plenty of preparation. There are a number of subjects that need to be covered in order to ensure you are ready for back-to-back questions.
Some positions require Hadoop, others SQL. Some roles require understanding statistics, while still others require heavy amounts of system design.
So we put together a study guide here:
https://docs.google.com/spreadsheets/...
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Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio
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0:00 Intro
4:11 RESOURCES TO PREP FOR YOUR INTERVIEW
12:16 Tips And Tricks For Preparing For Your Interview
About me:
I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consults on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.
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