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

Get to grips with the fundamental concepts of data engineering, and solve mock interview questions while building a strong resume and a personal brand to attract the right employers

Key Features:

• Develop your own brand, projects, and portfolio with expert help to stand out in the interview round
• Get a quick refresher on core data engineering topics, such as Python, SQL, ETL, and data modeling
• Practice with 50 mock questions on SQL, Python, and more to ace the behavioral and technical rounds
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

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.

What You Will Learn:

• Create maintainable and scalable code for unit testing
• Understand the fundamental concepts of core data engineering tasks
• Prepare with over 100 behavioral and technical interview questions
• Discover data engineer archetypes and how they can help you prepare for the interview
• Apply the essential concepts of Python and SQL in data engineering
• Build your personal brand to noticeably stand out as a candidate

Who this book is for:

If you're an aspiring data engineer looking for guidance on how to land, prepare for, and excel in data engineering interviews, this book is for you. Familiarity with the fundamentals of data engineering, such as data modeling, cloud warehouses, programming (python and SQL), building data pipelines, scheduling your workflows (Airflow), and APIs, is a prerequisite.

掌握資料工程的基本概念，解決模擬面試問題，同時建立強大的履歷和個人品牌，吸引合適的雇主。

主要特點：
- 在面試環節中，通過專家的幫助，開發自己的品牌、項目和作品集，脫穎而出。
- 快速複習核心資料工程主題，如Python、SQL、ETL和資料建模。
- 通過50個關於SQL、Python等方面的模擬問題，優化行為和技術面試。
- 購買印刷版或Kindle電子書，可獲得免費PDF電子書。

書籍描述：
準備資料工程面試常常讓人感到壓倒性，因為工具和技術眾多，讓你難以決定要重點學習哪些。這本實踐指南為你提供了必要的基礎和高級知識，以簡化你的學習之旅。

本書首先幫助你清楚了解資料工程的本質，以及它在不同組織中的差異。隨著章節的進展，你將獲得專家建議、實用技巧和現實世界的見解，從編寫履歷和求職信到建立人脈和談判薪水。這些章節還提供了資料工程基礎知識的複習培訓，包括資料建模、資料庫架構、ETL流程、資料倉儲、雲計算、大數據和機器學習。隨著你的進步，你將通過探索持續整合/持續開發（CI/CD）、資料安全和隱私，獲得全面的視角。最後，本書將幫助你練習案例研究、模擬面試以及行為問題。

通過閱讀本書，你將清楚了解如何在資料工程職位面試中取得成功。

你將學到什麼：
- 創建可維護和可擴展的代碼進行單元測試。
- 理解核心資料工程任務的基本概念。
- 準備超過100個行為和技術面試問題。
- 了解資料工程師的原型，以及它們如何幫助你準備面試。
- 在資料工程中應用Python和SQL的基本概念。
- 建立個人品牌，以顯著脫穎而出。

本書適合對如何在資料工程面試中獲得、準備和優秀表現的初學者。需要具備資料工程基礎知識，如資料建模、雲倉庫、編程（Python和SQL）、構建資料管道、安排工作流程（Airflow）和API。