Netflix
Data Engineer
Practice for Data Engineer
Netflix
Recruiter Screen
30 minutesA recruiter will assess your resume and LinkedIn profile to ensure your qualifications and experience align with the role's requirements . They will discuss your background, technical skills, and motivation for applying to Netflix .
5 minutesCan you describe your experience with data engineering technologies?
5 minutesWhat interests you about working at Netflix?
5 minutesHow have you handled challenges in past data projects?
All interviews are private and won't be shared with the recruiters.
Technical Screen
45 minutesThis round evaluates your technical skills and problem-solving abilities . It typically involves questions on SQL, data modeling, and big data technologies, as well as coding exercises .
5 minutesWrite a SQL query that returns the 2nd-highest salary in the engineering department.
5 minutesCan you explain the differences between batch processing and stream processing in the context of data engineering?
5 minutesExplain the differences between a star schema and a snowflake schema?
5 minutesDescribe your approach to building and optimizing data pipelines.
All interviews are private and won't be shared with the recruiters.
System Design & Architecture
30 minutesDemonstrate your grasp of large-scale infrastructure and resiliency patterns . You will be asked to present and discuss a design for a data storage or processing solution .
5 minutesDesign a Movie Recommendation System
5 minutesHow would you debug Kafka stream schema changes without downtime?
5 minutesDesign a system to process 500 billion events daily with peaks of 8 million events per second.
All interviews are private and won't be shared with the recruiters.
Netflix Culture Fit
30 minutesBehavioral interviews at Netflix, often conducted by directors, focus on cultural fit and team dynamics . Netflix places a high value on cultural fit, so you can expect to be asked questions to assess whether you will be a good fit for the team and the company culture .
5 minutesDescribe a data project you worked on.
5 minutesWhat are some effective ways to make data more accessible to non-technical people?
5 minutesWhat would your current manager say about you, and what constructive feedback might they offer?
5 minutesTalk about a time you had trouble communicating with stakeholders.
All interviews are private and won't be shared with the recruiters.