English | Size: 164.50 MB
Genre: eLearning
What you’ll learn
How to crack the Data Engineer technical interview
While some companies consider the Data Engineer role to be a subcategory of the Software Development Engineer role, topics covered in Data Engineer technical interviews differ from those covered in Software Development Engineer interviews. This course focuses on those you will most likely encounter during your Data Engineer interview.
Data Engineering interviews grew by 40% in 2020 and Data Engineering in general is one of the fastest growing job role. These numbers will likely continue to grow as companies invest in data-driven solutions.
What you’ll learn
In this course, you will learn how to prepare for the Data Engineer technical interview at FAANG companies. The lectures will guide you through the concepts you should focus on as a Data Engineer and provide you with practice problems after each topic to test your understanding.
The course will cover the following topics: Problem Sense, Data Modeling, and Coding. The coding practice problem solutions will be written in SQL and Python.
You will practice classic coding problems as well as how to handle batch and streaming data for ETL related interview rounds/questions.
The course will conclude with general tips to remember throughout your interview process.
Are there any course requirements or prerequisites?
There is no prerequisites for this course, however any work experience as a Data Engineer will be helpful.
Who this course is for:
Students and professionals striving to land a Data Engineer position at a FAANG company.
Who this course is for:
Students and professionals looking to get hired at a FAANG company as a Data Engineer
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