Principal Data Engineer
GoPromakes 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 Bucharest to Munich, Silicon Valley to Shenzhen, we are dedicated to building a company that reflects and honors the diverse global communities where we live, work, and play.
GoPro is seeking a highly motivated, top tier candidate to take on the responsibilities of a Principal Data Engineer. You will be a part of the Analytics & Data Science Team, working closely with other Analysts across product and service verticals, and cross-functionally with Product and Business Stakeholders, including Data Engineering. Key responsibilities include but are not limited to identifying advanced analytic requirements and interfacing with Data Engineering to produce data sets to support advanced analytics. S/he will also own development and automation of key analytics reports and visualizations that support informed decision making.
Lead business requirements and advanced analytics requirements gathering efforts, interfacing with Data Engineering, Analytics, and stakeholder teams
Work with analytics, data science, and wider engineering teams across GoPro to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure
Develop intelligent, insightful self-reporting tools operating on terabytes of structured and non-structured data, and ensure high accuracy in working with the data
Bachelor/Graduate degree in analytics, statistics, engineering, math, economics, or science
At least 10 years of hands-on data engineering experience
Extensive SQL knowledge, e.g. Postgres or MySQL
Proficient in manipulating large data sets with complex SQL and Python (or other similar languages)
Experienced in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink etc...) on large scale data sets
Worked on AWS services - DMS Jobs, Lambda, S3, Redshift, SNS (or Apache Kafka), SQS, Redis, Data-Lakes, and AWS cloud deployment models
Fully-stocked kitchen with snacks galore
Get your very own GoPro (Mounts and accessories included)
Discounted employee stock purchase plan (ESPP)
Pre-tax and Roth 401(k) options
Discretionary Time Off
12 weeks paid Parental Leave for new parents
Medical, dental, and vision insurance premiums are 100% paid for employees, 80% paid for dependents
Life insurance and disability benefits
Employee commuter shuttles
LiveHealthy gym reimbursement
Innovative wellness programs and on-site fitness classes
GoPro is an Equal Opportunity Employer.