Senior Software / Data Engineer
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 equality. 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, Kafka, HBase, Hive, Scala, Java, SQL, and others to build business-critical, scalable and robust data pipelines and intuitive data products that power data discovery and analysis.
You are expected to work effectively 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 and SQL .
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 pipelines that ingest various data sources using Apache Spark and Apache Airflow.
Create metrics and graphs to visualize and validate user engagement tables
Setup monitoring processes to check data quality.
Use your machine learning knowledge and experience to guide data engineering and feature engineering work that leads to user attributes.
These attributes will then be used for user profiling, segmentation, and personalization.
About you :
You are passionate about work and coding
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 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.
Skills We’re Stoked About
MS or BS in Computer Science, Engineering or a related field or equivalent practical experience in Data Engineering.
Proficient in manipulating large data sets with complex SQL and Scala (or other similar languages)
Strong software development experience with proficiency in at least one high-level programming language (Java, Scala or equivalent).
Extensive SQL knowledge, e.g. Postgres, MySQL or Spark SQL
3+ years’ data engineering in develop data pipelines using big data technologies (Spark, Hive etc...) on large scale data sets
Nice to have machine learning experience, 2+ years in production
Experience with Amazon AWS is a plus.