Preparing for a data engineering interview can often get overwhelming due to the abundance of tools and technologies, leaving you struggling to prioritize which ones to focus on. This hands-on guide provides you with the essential foundational and advanced knowledge needed to simplify your learning journey.
The book begins by helping you gain a clear understanding of the nature of data engineering and how it differs from organization to organization. As you progress through the chapters, you’ll receive expert advice, practical tips, and real-world insights on everything from creating a resume and cover letter to networking and negotiating your salary. The chapters also offer refresher training on data engineering essentials, including data modeling, database architecture, ETL processes, data warehousing, cloud computing, big data, and machine learning. As you advance, you’ll gain a holistic view by exploring continuous integration/continuous development (CI/CD), data security, and privacy. Finally, the book will help you practice case studies, mock interviews, as well as behavioral questions.
By the end of this book, you will have a clear understanding of what is required to succeed in an interview for a data engineering role.

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Spis treści

Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio eBook -- spis treści

• 1. The Roles and Responsibilities of a Data Engineer
• 2. Must-Have Data Engineering Portfolio Projects
• 3. Building Your Data Engineering Brand on LinkedIn
• 4. Preparing for Behavioral Interviews
• 5. Essential Python for Data Engineers
• 6. Unit Testing
• 7. Database Fundamentals
• 8. Essential SQL for Data Engineers
• 9. Database Design and Optimization
• 10. Data Processing and ETL
• 11. Data Pipeline Design for Data Engineers
• 12. Data Warehouses and Data Lakes
• 13. Essential Tools You Should Know About
• 14. Continuous Integration/Continuous Development for Data Engineers
• 15. Data Security and Privacy
• 16. Additional Interview Questions