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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
Authors (2):
Kedeisha Bryan Kedeisha Bryan
Profile icon Kedeisha Bryan
Taamir Ransome Taamir Ransome
Profile icon Taamir Ransome
View More author details

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
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Additional Interview Questions

Welcome to Additional Technical Interview Questions, an essential chapter on your path to becoming a successful data engineer. While the fundamentals, such as SQL queries, data modeling, and pipeline orchestration, were covered in earlier chapters, this chapter aims to introduce you to the more subtle, and frequently more difficult, aspects of data engineering interviews.

Many candidates perform admirably on the fundamental questions but struggle on the more difficult ones, which are frequently the ones they will encounter while working. To close those knowledge and readiness gaps, this chapter has been written. You can increase your confidence and show potential employers that you have the skills and knowledge necessary to handle real-world data engineering challenges by practicing these difficult questions and mastering the underlying concepts.

Now, let’s take a look at these additional questions:

  • Question 1: What is a data lake...
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Cracking the Data Engineering Interview
Published in: Nov 2023 Publisher: Packt ISBN-13: 9781837630776
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