Job Description

Software Engineer

About GoPro

GoPro makes it easy for people to celebrate and share experiences. We believe life is more meaningful when shared. We build cameras, software, and accessories that help the world share itself in immersive and exciting ways.

GoPro is a global movement whose business is driven by shared experiences. We celebrate diversity. We practice inclusion. We foster belonging. We demand equity. And we share the experiences of individuals and communities who also hold these values as core to who they are. From Silicon Valley to Bucharest, Paris to Shenzhen, we are dedicated to building a company that reflects and honors the diverse global communities where we live, work, and play.

About Data Science Engineering (DSE)

DSE at GoPro is responsible for our in-house data platform infrastructure, data engineering and automated data analytics reporting. We are responsible for enabling and empowering our partners in product, engineering, product analytics, marketing teams by providing infrastructure, tools, services, visualization to access data and business reports. We are also responsible in preparing data and metrics to support data scientists and business operations.

About the role:

As part of this engineering team, you will work on vast amounts of data from user identity, subscriptions services, media services, mobile apps, desktop apps, camera, marketing, advertising, e-commerce and sales; you will work on diverse data technologies such as Spark, Superset, Airflow, Hive, Scala, Java, SQL, and others to build business-critical, scalable, robust data pipelines and intuitive data products that power data discovery and analysis. You are expected to collaborate with our development, analytics, marketing, and product teams to enable data-driven decisions which improve the experience of millions of users worldwide.

Our primary development languages are Java, Scala, SQL and Python.

What you will likely do:

• Your initial project will be focused on our new Customer Data Platform where we are building a 360-degree view of our customers
• Design and develop data quality pipelines that check and monitoring different data metrics and data qualities using Spark SQL, Apache Spark and Apache Airflow
• Dive into data quality issue discovery via SQL and other tools to uncover data issues and reports to engineering, product and business teams
• Create metrics and graphs to visualize, validate data before delivery to customer data platform
• Define, develop and implement DataOp best practices and processes including data quality monitoring, data observation, data lineage and data validation etc.

About you:

• You are passionate about work and coding
• You are passionate about data and the design and development of systems that enable data driven decisions
• You have the capability to synthesize business requirements and construct the technical requirements and engineering project plans
• You have a strong background in distributed data processing and software engineering and can build high-quality, scalable data products
• You have strong knowledge of data architecture, data modeling, and data infrastructure ecosystems
• You have an analytical mindset and have a passion for solving business problems using data
• You thrive on the opportunity to collaborate with cross functional teams to create customer and business value
• You are a creative thinker and a strong problem solver with meticulous attention to detail and can tackle loosely defined problems
• You have excellent written and verbal communication skills with an ability to communicate in a clear, collaborative and open-minded manner and effective manner with both technical and non-technical peers
• Ability to articulate design and implementation choices
• You have the ability to initiate and drive projects to completion with minimal guidance in a dynamic environment
• You have ability to troubleshoot, debug, and identify the relevant information in reporting a defect with exceptional attention to detail
• You are independent, self-driven, able to work under no or little supervision

Skills We’re Excited About

• MS or BS in Computer Science, Engineering or a related field or equivalent practical experience in Software Development
• Ability to dive in and build Libraries and APIs is Plus
• Extensive SQL knowledge, e.g., Postgres, MySQL. Spark SQL is a plus
• Strong software development experience with proficiency in at least one high-level programming language (Java, Scala or equivalent)
• Data engineering experience in developing data pipelines using big data technologies (Spark, Hive etc…) on large scale data sets is a plus
• Experience with Amazon AWS is a plus.

GoPro Highlights

• Live it. Eat it. Love it. – Two dedicated hours during your week to explore your passions and capture it with your GoPro.
• Get your very own GoPro (Mounts and accessories included).
• Competitive salary and discretionary annual performance-related bonus.
• Gym fee compensation / LiveHealthy Wellness Program.
• Discounted employee stock purchase plan.
• Excellent healthcare insurance coverage.
• Life insurance and disability benefits.
• Professional + personal development opportunities, i.e., LinkedIn Learning;
• Opportunities to get involved in the causes that you care about (annual camera donation + volunteer events)

We strive for the day that no group can be described as underrepresented at GoPro – whether as part of our brand or in our workforce. We are committed to providing a more inclusive, representative, equal, just and happy world. GoPro is proud to be an Equal Opportunity Employer.

How to Apply

Job Types: Full-Time.

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