Preface

Within the domain of data, a distinct group of experts known as data engineers are devoted to ensuring that data is not merely accumulated, but rather refined, dependable, and prepared for analysis. Due to the emergence of big data technologies and the development of data-driven decision-making, the significance of this position has increased substantially, rendering data engineering one of the most desirable careers in the technology sector. However, the trajectory toward becoming a prosperous data engineer remains obscure for many.

Cracking the Data Engineering Interview serves as a printed mentor. Providing ambitious data engineers with the necessary information, tactics, and self-assurance to enter this ever-changing industry. The organization of this book facilitates your progression in comprehending the domain of data engineering, attaining proficiency in its fundamental principles, and equipping yourself to confront the intricacies of its interviews.

Part 1 of this book delves into the functions and obligations of a data engineer and offers advice on establishing a favorable impression before the interview. This includes strategies, such as presenting portfolio projects and enhancing one’s LinkedIn profile. Parts 2 and 3 are devoted to the technical fundamentals, guaranteeing that you will possess a comprehensive understanding of the essential competencies and domains of knowledge, ranging from the intricacies of data warehouses and data lakes to Python programming. In Part 4, an examination is conducted of the essential tools and methodologies that are critical in the contemporary data engineering domain. Additionally, a curated compilation of interview inquiries is provided for review.