About Kraken
Our mission is to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Founded in 2011 and with over 4 million clients, Kraken is one of the world's largest, most successful bitcoin exchanges and we're growing faster than ever. Our range of successful products are playing an important role in the mainstream adoption of crypto assets. We attract people who constantly push themselves to think differently and chart exciting new paths in a rapidly growing industry. Kraken is a diverse group of dreamers and doers who see value in being radically transparent. Let's change the way the world thinks about money! Join the revolution!
About the role
The data engineering team is responsible for designing and implementing scalable solutions that allow the company to make data-driven decisions fast and accurately on several terabytes of data. The data engineering team has just launched the company’s new data warehouse, and you will be responsible for creating various pipelines to move vast amounts of data into the new warehouse.
Responsibilities
- Build scalable and reliable data pipeline that collects, transforms, loads and curates data from internal systems
- Augment data platform with data pipelines from select external systems
- Ensure high data quality for pipelines you build and make them auditable
- Drive data systems to be as near real-time as possible
- Support design and deployment of distributed data store that will be central source of truth across the organization
- Build data connections to company's internal IT systems
- Develop, customize, configure self service tools that help our data consumers to extract and analyze data from our massive internal data store
- Evaluate new technologies and build prototypes for continuous improvements in data engineering
Requirements
- 5+ years of work experience in relevant field (Data Engineer, DW Engineer, Software Engineer, etc)
- Experience with data warehouse technologies and relevant data modeling best practices (Spark, Presto, Druid, etc.)
- Experience building data pipelines/ETL and familiarity with design principles
- Excellent SQL skills
- Proficiency in a major programming language (e.g. Java, C++, etc.) and/or a scripting language (Javascript, Python, etc.)
- Experience with business requirements gathering for data sourcing
We’re powered by people from around the world with their own unique backgrounds and experiences. We value all Krakenites and their talents, contributions, and perspectives.
