If you’re someone who likes interacting with enormous datasets on a daily basis, this might be the ideal job for you. As a data engineer at Netflix, you’ll be working on improving different aspects of the company.
The Netflix data engineer interview process is aimed at gauging whether you’ll be able to do so effectively. You’ll be researching applications spanning several areas, such as personalization algorithms, content valuation, and streaming applications.
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To help you understand the Netflix data engineer interview process, in this article, we'll be covering:
A data engineer is responsible for building systems that help in the collection, management, and conversion of raw data into comprehensible and useful information. The information is then analyzed by data scientists and business analysts.
The main goal of data engineers is to make data as accessible as possible for the organization so that they can analyze it. Then the information is used to optimize and elevate the company's performance. This is what’s tested in the Netflix data engineer interview process.
At Netflix, in order to maximize the impact of this research, they don’t centralize the research into a different organization. What they do is they have several teams that pursue research and work with business teams, engineers teams, as well as other researchers.
The Netflix data engineer interview process is broadly divided into three stages:
In this round, the recruiter will call you for a 30-minute interview. In this initial stage of the Netflix data engineer interview process, the recruiter will go through your resume with you. The recruiter will ask questions related to your past experiences, skills, and projects.
Netflix has highly-specialized and technical recruiters. So in this call, your general communication skills will also be tested. Further, the role and responsibilities will be explained.
This round lasts around 45 minutes, and you’ll be asked technical questions on topics such as SQL, analytics, machine learning, and algorithms. So before appearing for this round of the Netflix data engineer interview process, prepare accordingly.
Here are some sample questions:
The final stage of the Netflix interview process for data engineers is divided into two parts, with a lunch break in between. These are one-on-one interviews with 6 to 7 interviewers that include data engineer team members, team managers, and a product manager.
The on-site interviews will test you on multiple concepts such as SQL, analytics, machine learning, and algorithms. There will also be a behavioral interview where they’ll determine whether you’re a cultural fit or not.
Since this is an engineering role, the interviews will focus more on engineering, machine learning, and deep learning interview questions.
We’ve listed some sample interview questions that you can prepare for to crack the Netflix data engineer interview process below:
Preparing for these types of interview questions will surely help you get ready for your Netflix data engineer interview.
The average salary of a Netflix data engineer is $294,903 per year, which is 134% more than the national average. While entry-level engineers' salaries start from $84,000 onwards, the average senior data engineer salary at Netflix is $$164,944.
If you want some help in sprucing up your resume as you apply for the Netflix data engineer role, you can check out How to Make a Perfect Software Engineer Resume for FAANG Companies.
Some commonly asked questions on the Netflix data engineer interview process are:
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