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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Practical application of data processing and ETL

The next logical step, after mastering the fundamental concepts and architectures, is to apply this knowledge to real-world scenarios. This section focuses on the practical aspects of ETL and data processing, guiding you through the entire pipeline creation process—from design to implementation and optimization. Whether you’re constructing a simple data ingestion task or a complex, multi-stage ETL pipeline, the hands-on exercises and case studies in this section will equip you with the knowledge and confidence to overcome any data engineering challenge. By the end of this section, you will not only be equipped to implement effective ETL solutions but also to excel in interview questions pertaining to this topic.

Designing an ETL pipeline

Designing an ETL pipeline is the crucial first procedure that sets the stage for the implementation and optimization phases that follow. The initial step in this procedure is requirements...