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Cracking the Data Engineering Interview

You're reading from  Cracking the Data Engineering Interview

Product type Book
Published in Nov 2023
Publisher Packt
ISBN-13 9781837630776
Pages 196 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Kedeisha Bryan Kedeisha Bryan
Profile icon Kedeisha Bryan
LinkedIn
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.
See other products by Kedeisha Bryan
Taamir Ransome Taamir Ransome
Profile icon Taamir Ransome
LinkedIn
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.
See other products by Taamir Ransome
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Table of Contents (23) Chapters

Preface Part 1: Landing Your First Data Engineering Job
Chapter 1: The Roles and Responsibilities of a Data Engineer Chapter 2: Must-Have Data Engineering Portfolio Projects Chapter 3: Building Your Data Engineering Brand on LinkedIn Chapter 4: Preparing for Behavioral Interviews Part 2: Essentials for Data Engineers Part I
Chapter 5: Essential Python for Data Engineers Chapter 6: Unit Testing Chapter 7: Database Fundamentals Chapter 8: Essential SQL for Data Engineers Part 3: Essentials for Data Engineers Part II
Chapter 9: Database Design and Optimization Chapter 10: Data Processing and ETL Chapter 11: Data Pipeline Design for Data Engineers Chapter 12: Data Warehouses and Data Lakes Part 4: Essentials for Data Engineers Part III
Chapter 13: Essential Tools You Should Know Chapter 14: Continuous Integration/Continuous Development (CI/CD) for Data Engineers Chapter 15: Data Security and Privacy Chapter 16: Additional Interview Questions
Index Other Books You May Enjoy

To get the most out of this book

You will need to have a basic understanding of Microsoft Azure.

Software/hardware covered in the book

Operating system requirements

Microsoft Azure

Windows, macOS, or Linux

Amazon Web Services

Windows, macOS, or Linux

Python

Windows, macOS, or Linux
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Authors (2)

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Profile icon Kedeisha Bryan
LinkedIn
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
See other products by Kedeisha Bryan
Profile icon Taamir Ransome
LinkedIn
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.
See other products by Taamir Ransome
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