Data Analytics Engineer
dv01Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should have a strong level of data skills and analytics experience, with proficiency in DBT and SQL for working with large, complex datasets. Experience building data pipelines, collaborating on codebases using git, and working in a modern cloud data warehouse environment is required. Familiarity with energy/utilities subject areas, a scripting language like Python, and the ability to learn new technologies quickly are also essential. The ideal candidate is curious, self-driven, data literate, numerate, and a great communicator.
The Analytics Engineer will become a subject matter expert on the Kraken data model, contributing to the design of its client-facing layer and ensuring model reliability and stability through best practices and testing. They will build core datasets to answer business questions, work on strategic projects end-to-end, and collaborate closely with various teams at Kraken. The role involves understanding how clients interact with their markets, defining success metrics, and working with stakeholders to improve products.
Cryptocurrency exchange for buying and trading
Kraken is a cryptocurrency exchange platform that allows users to buy, sell, and trade various digital assets. It offers features that cater to both beginners and experienced traders, making it easy to navigate the cryptocurrency market. Users can execute trades with high liquidity, which means their transactions are completed quickly. The platform charges low transaction fees, sometimes as low as 0%, helping users keep more of their profits. Kraken also provides advanced charting tools to help investors track their investments effectively. Security is a major focus, with multiple protective measures in place to keep user assets safe. The platform supports 70 different asset pairs and is continuously expanding its offerings. Additionally, Kraken offers 24/7 global support to assist users with any questions or issues.