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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.
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Reviewing the most asked interview questions

Data engineering interviews typically involve technical and behavioral questions to assess a candidate’s technical knowledge, problem-solving skills, and ability to work effectively in a team.

The best approaches to answering these questions involve being specific about your experiences, highlighting your role in particular projects or tasks, discussing any challenges you faced and how you overcame them, and providing metrics that showcase your accomplishments.

Here are 10 of the most asked questions in a data engineering interview, along with how you might effectively respond to give better context:

  • Question 1: What experience do you have with ETL processes and data pipelines?

    I have extensive experience with ETL processes and data pipelines. In my previous role, I was responsible for building a data pipeline that extracted data from various sources, transformed it, and loaded it into a centralized database. I used tools...

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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