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You're reading from  Cracking the Data Engineering Interview

Product typeBook
Published inNov 2023
PublisherPackt
ISBN-139781837630776
Edition1st Edition
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Authors (2):
Kedeisha Bryan
Kedeisha Bryan
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Kedeisha Bryan

Kedeisha Bryan is a data professional with experience in data analytics, science, and engineering. She has prior experience combining both Six Sigma and analytics to provide data solutions that have impacted policy changes and leadership decisions. She is fluent in tools such as SQL, Python, and Tableau. She is the founder and leader at the Data in Motion Academy, providing personalized skill development, resources, and training at scale to aspiring data professionals across the globe. Her other works include another Packt book in the works and an SQL course for LinkedIn Learning.
Read more about Kedeisha Bryan

Taamir Ransome
Taamir Ransome
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Taamir Ransome

Taamir Ransome is a Data Scientist and Software Engineer. He has experience in building machine learning and artificial intelligence solutions for the US Army. He is also the founder of the Vet Dev Institute, where he currently provides cloud-based data solutions for clients. He holds a master's degree in Analytics from Western Governors University.
Read more about Taamir Ransome

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Summary

Preparing for behavioral interviews is critical to any job search, especially for data engineering positions. Candidates can better prepare for success by understanding the types of behavioral questions commonly asked in data engineering interviews and the skills that are measured during these interviews.

This chapter discussed six main types of behavioral questions, including those that assess cultural fit and the STARR method for effectively answering behavioral questions. We also reviewed the top 10 most frequently asked questions in a data engineering interview and provided detailed explanations of how to answer them.

By employing these strategies and best practices, candidates can increase their chances of success in a data engineering interview and effectively demonstrate their skills and qualifications. As the demand for data engineering roles grows, being well prepared for these interviews is more crucial than ever. We hope this chapter has provided candidates...

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Cracking the Data Engineering Interview
Published in: Nov 2023Publisher: PacktISBN-13: 9781837630776

Authors (2)

author image
Kedeisha Bryan

Kedeisha Bryan is a data professional with experience in data analytics, science, and engineering. She has prior experience combining both Six Sigma and analytics to provide data solutions that have impacted policy changes and leadership decisions. She is fluent in tools such as SQL, Python, and Tableau. She is the founder and leader at the Data in Motion Academy, providing personalized skill development, resources, and training at scale to aspiring data professionals across the globe. Her other works include another Packt book in the works and an SQL course for LinkedIn Learning.
Read more about Kedeisha Bryan

author image
Taamir Ransome

Taamir Ransome is a Data Scientist and Software Engineer. He has experience in building machine learning and artificial intelligence solutions for the US Army. He is also the founder of the Vet Dev Institute, where he currently provides cloud-based data solutions for clients. He holds a master's degree in Analytics from Western Governors University.
Read more about Taamir Ransome