`GoPro is a renowned company specializing in versatile cameras, equipment, and content creation tools, inspiring users to capture their most exciting moments. Celebrated for its innovative technology and user-friendly products, GoPro continues to lead the market in action camera solutions.

Stepping into GoPro as a Data Engineer entails delving into extensive data pipelines and optimizing data systems responsible for high-impact insights. The position requires proficiency in SQL, Python, ETL processes, data modeling, and a robust understanding of data architecture. As a Data Engineer, you will play a pivotal role in harnessing data to drive decision-making and improve user experiences.

If you're aspiring to join GoPro, this guide is crafted for you. We’ll uncover the interview process, commonly asked questions, and valuable preparation tips on Interview Query. Let's begin your journey to becoming a part of GoPro’s innovative team! `

Submitting Your Application

The first step in securing a Data Engineer position at GoPro is to submit a compelling application that showcases your technical skills and enthusiasm for joining the company. Whether you were approached by a GoPro recruiter or took the initiative yourself, carefully reviewing the job description and tailoring your CV to match the prerequisites is crucial.

Your tailored CV should include specific keywords that the hiring manager might use to filter resumes, a targeted cover letter, and a highlight of relevant skills and work experiences.

Recruiter/Hiring Manager Call Screening

If your CV stands out, a recruiter from the GoPro Talent Acquisition Team will contact you to verify key details about your experiences and skill level. This initial screening may also include behavioral questions.

In some cases, the GoPro hiring manager may participate during this screening call to answer your questions about the role and the company. You may also encounter surface-level technical and behavioral discussions.

The recruiter call typically lasts around 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will lead to an invitation for the technical screening round. This stage is conducted virtually through video conferencing and screen sharing. The 1-hour long interview may cover questions related to GoPro’s data systems, ETL pipelines, and SQL queries.

For data engineering roles, take-home assignments focusing on data warehouse architecture, data pipeline design, and optimization tasks might also be part of the process. Your proficiency in data modeling, data integration techniques, and advanced SQL queries will be assessed during this round.

Depending on the seniority of the position, you may also face case studies or real-world problem-solving exercises.

Onsite Interview Rounds

Following a second recruiter call explaining the next stage, you will receive an invitation to attend onsite interview rounds at the GoPro office. These rounds vary with the role and may involve multiple interviews held during your day at the office.

Your technical abilities, including programming skills and data engineering expertise, will be thoroughly evaluated. If you were assigned a take-home project, a presentation round might also be included during the onsite interview.

Quick Tips For GoPro Data Engineer Interviews

• Brush up on advanced SQL and ETL pipeline design. Practice complex SQL queries and understand the fundamentals of data integration and transformation.
• Familiarize yourself with GoPro’s products and how data plays a part in optimizing these products. Understand the business context and use cases where data engineering could add value.
• GoPro values innovation and a collaborative spirit. Be prepared to discuss how you’ve worked in teams to solve complex data-related challenges and how your expertise can contribute to GoPro’s continuous improvement.

Typically, interviews at Gopro vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

• Write a query to get the average order value by gender. Given three tables representing customer transactions and customer attributes, write a query to get the average order value by gender. Round the answer to two decimal places.

• Write a function missing_number to find the missing number in an array. You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array.

• Find the index where the sum of the left half equals the right half. Given a list of integers, find the index at which the sum of the left half of the list is equal to the right half. Return -1 if no such index exists.

• Write a function sorting to sort a list of strings in ascending order. Given a list of strings, write a function, sorting from scratch to sort the list in ascending alphabetical order. Do not use the built-in sorted function.

• Write a query to find the earliest date each user played their third unique song. Given a table of song_plays and a table of users, write a query to extract the earliest date each user played their third unique song. If a user has listened to less than three unique songs, display their name with a NULL date and song name.

• How would you build a model to predict which merchants DoorDash should acquire in a new market? As a data scientist at DoorDash, describe the steps and features you would use to build a predictive model to identify which merchants the company should target for acquisition when entering a new market.

• How would you determine the customer service quality through the chat box for small businesses on Facebook Marketplace? Working at Facebook, your team aims to help small businesses increase sales through the Marketplace app. Explain how you would assess the quality of customer service provided through chat interactions between small businesses and consumers.

• What business health metrics would you track on a dashboard for an e-commerce D2C sock business? If you are in charge of an e-commerce D2C business selling socks, list and explain the key business health metrics you would monitor on a company dashboard to ensure the business is performing well.

• Write a query to determine if user interactions on a website lead to higher purchasing volumes. Given three tables (users, transactions, and events), write a SQL query to analyze whether users who interact on the website (e.g., likes, comments) have a higher purchasing volume compared to those who do not interact.

• How does random forest generate the forest and why use it over logistic regression? Explain the process of generating a forest in a random forest algorithm and discuss the advantages of using random forest over logistic regression.

• How do we deal with missing square footage data to construct a housing price model? You have 100K sold listings over the past three years for Seattle, but 20% are missing square footage data. Describe methods to handle this missing data to build an accurate housing price prediction model.

• How would you build a model to predict which merchants DoorDash should acquire in a new market? As a data scientist at DoorDash, outline the steps to create a model that predicts which merchants to target for acquisition when entering a new market.

• How do you detect and handle correlation between variables in linear regression? Describe methods to detect and manage correlation between variables in a linear regression model. Explain the consequences of ignoring such correlations.

• How would you design a model to detect potential bombs at a border crossing? Outline the design of a model to detect potential bombs at a border crossing, including the selection of inputs and outputs, accuracy measurement, and testing procedures.

• How many more samples are needed to decrease the margin of error from 3 to 0.3? Given a sample size (n) with a margin of error of 3, calculate the additional samples required to reduce the margin of error to 0.3.

• What is the mean and variance of the distribution of (2X - Y)? Given (X) and (Y) are independent random variables with normal distributions (X \sim \mathcal{N}(3, 4)) and (Y \sim \mathcal{N}(1, 4)), determine the mean and variance of (2X - Y).

• How do you calculate the sample size and power for an AB test? For an AB test with a test group and a control group:

• How do you calculate the necessary sample size for accurate measurement?
• If the sample size is sufficient, should the power increase or decrease to measure very small differences between the groups?

What is the average salary for a Data Engineer at Gopro?

Q: What is the interview process like for a Data Engineer position at GoPro?

The interview process at GoPro usually consists of a recruiter call, technical interviews, and an onsite interview. The steps are comprehensive, aimed at gauging your technical expertise, problem-solving skills, and cultural fit within the company.

Q: What kind of technical questions can I expect?

You can expect a mix of SQL queries, data modeling, and questions on big data technologies like Hadoop or Spark. Brush up on your data manipulation and pipeline creation skills to ace these questions.

Q: What skills are most crucial for the Data Engineer role at GoPro?

Proficiency in SQL, experience with big data frameworks (e.g., Hadoop, Spark), and strong scripting abilities (often in Python) are critical. Familiarity with data warehousing solutions and ETL processes is also highly desirable.

Q: What is the work environment and culture like at GoPro?

GoPro has a dynamic and passionate work environment that champions innovation and creativity. The culture really values teamwork and encourages a collaborative approach to problem-solving, making it a thrilling place to work.

Q: How can I best prepare for the interview?

Prepare by researching GoPro, understanding their products and services, and practicing common data engineering interview questions with Interview Query. It's crucial to review your technical skills and be ready to discuss your past projects and data engineering experiences.

With your aspirations to join GoPro as a Data Engineer, preparation is key to achieving your goal. If you want more insights about the company, check out our main GoPro Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as software engineer and data analyst, where you can learn more about GoPro’s interview process for different positions.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every GoPro Data Engineer interview question and challenge.

You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!