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.
publication date
2023-11-07
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
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
approach
Delve into essential concepts of data engineering while gaining insider knowledge on optimizing your chances of securing coveted interview opportunities. This invaluable resource offers expert advice on constructing a standout portfolio, crafting a tailored resume, and harnessing the potential of LinkedIn, ensuring you stand out from the competition and land your dream data engineering job
audience
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.
short description
The book is a practical guide that’ll help you prepare to successfully break into the data engineering role. The chapters cover technical concepts as well as tips for resume, portfolio, and brand building to catch the employer's attention, while also focusing on case studies and real-world interview questions.
subtitle
Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
keywords
Data Warehouse; Automation; Data Engineering book; Data Processing; Data Privacy; Data Lake; Version Control
Product ISBN
9781837630776
