Glassbox is looking for a Data Engineer to join our R&D team
Glassbox is a world leader in recording analytics. This is an opportunity to work with bleeding-edge technology and top-tier customers while solving problems at an incredible scale
When was the last time you were excited to go to work?
What you'll be doing
As our Data Engineer, you will surely get excited with the opportunity of handling exceptional volumes of customer data (hundreds of billions of monthly events!) and help us facilitate cutting-edge Machine Learning technologies at large scale for some of the largest organizations in the world
You will work closely with several R&D teams within Glassbox - Product, Software and Data Science teams and take a pivotal role in defining our next generation data pipeline and ML platform infrastructure
- Utilize a combination of cloud based and open source frameworks to solve our most complex data problems
- Define, design and implement multiple data pipelines and ETL processes (normalization, aggregation, transformation, data movement, etc).
- Work closely across multiple R&D teams to understand their needs and build the absolute best-in-class data architecture to solve their problems and building long term data strategy
- Develop processes and tools to monitor, analyze, maintain and improve data pipeline operation, performance and usability