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Ace the Data Engineering Interview: Questions and Answers for Python, SQL, Data Modeling and More

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In "Ace the Data Engineering Interview," readers embark on a comprehensive journey through the multifaceted landscape of data engineering interview preparation. Beginning with the pivotal task of crafting standout resumes and LinkedIn profiles, the book systematically progresses through Python and SQL technical challenges on Leetcode, laying a solid foundation in algorithmic problem-solving and database management. Readers will gain in-depth insights into SQL intricacies and data modeling, enhancing their proficiency in designing optimal data structures. Moreover, the book underscores the importance of aligning engineering prowess with business goals, fostering a sharp product sense. As readers navigate towards the advanced terrains of system design and behavioral interviews, they're equipped with strategies to articulate their experiences compellingly and design scalable data systems. This holistic guide serves as an indispensable resource for aspiring data engineers aiming to make a mark in their interviews.

251 pages, Kindle Edition

Published October 30, 2023

19 people are currently reading
12 people want to read

About the author

Sean Coyne

3 books3 followers
Sean Coyne is a Senior Director of Software Engineering with over 12 years of experience leading teams to deliver large scale software products. He started his career at The Cleveland Clinic as a junior engineer, before moving into data engineering in the health-tech space. Having interviewed hundreds of data engineering and software engineering candidates, Sean writes on Medium and LinkedIn frequently.

His background includes an MBA from Cleveland State University, employment at The Advisory Board, GoPro and GoodRx, as well as the creation and launch of a data-ingestion SAAS and a data engineering interview prep iOS app.

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Displaying 1 - 2 of 2 reviews
87 reviews
December 31, 2024
This book provided me with a lot of ideas to improve my skills as as a data engineer, which is what I was looking for.
However, the overall content of the book was fairly bland and generic. Additionally, there was little to no organization in the book- no table of contents, no index, and a lot of repetitive ideas. Without these resources, it will be hard to refer back to this book.
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58 reviews
February 25, 2024
Good collection of all the topics you'd like to prepare for. Not the greatest source for learning/understanding them.
Displaying 1 - 2 of 2 reviews

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