You're reading from Cracking the Data Engineering Interview Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio

Product type Paperback

Published in Nov 2023

Publisher Packt

ISBN-13 9781837630776

Length 196 pages

Edition 1st Edition

Languages

Python

Tools

Core Data

Concepts

Data Engineering

Authors (2):

Kedeisha Bryan

Taamir Ransome

View More author details

Table of Contents (23) Chapters

Preface

1. Part 1: Landing Your First Data Engineering Job

2. Chapter 1: The Roles and Responsibilities of a Data Engineer FREE CHAPTER

3. Chapter 2: Must-Have Data Engineering Portfolio Projects

4. Chapter 3: Building Your Data Engineering Brand on LinkedIn

5. Chapter 4: Preparing for Behavioral Interviews

6. Part 2: Essentials for Data Engineers Part I

7. Chapter 5: Essential Python for Data Engineers

8. Chapter 6: Unit Testing

9. Chapter 7: Database Fundamentals

10. Chapter 8: Essential SQL for Data Engineers

11. Part 3: Essentials for Data Engineers Part II

12. Chapter 9: Database Design and Optimization

13. Chapter 10: Data Processing and ETL

14. Chapter 11: Data Pipeline Design for Data Engineers

15. Chapter 12: Data Warehouses and Data Lakes

16. Part 4: Essentials for Data Engineers Part III

17. Chapter 13: Essential Tools You Should Know

18. Chapter 14: Continuous Integration/Continuous Development (CI/CD) for Data Engineers

19. Chapter 15: Data Security and Privacy

20. Chapter 16: Additional Interview Questions

21. Index

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22. Other Books You May Enjoy

Technical interview questions

Having covered essential concepts in database design and optimization, we will now provide a series of questions to help you effectively prepare for your interview. We have also provided an example answer for each question:

Question 1: What is the purpose of data normalization, and what are the different normal forms?
Answer: Data normalization is the process of organizing data in a database to minimize redundancy and improve data integrity. The different normal forms are as follows:
- First Normal Form (1NF): Ensures atomicity by eliminating repeating groups and storing each data value in a separate column
- Second Normal Form (2NF): Builds upon 1NF by eliminating partial dependencies, ensuring that non-key attributes are fully dependent on the primary key
- Third Normal Form (3NF): Further eliminates transitive dependencies, ensuring that non-key attributes are only dependent on the primary key and not on other non-key attributes
- Fourth Normal Form (4NF...