Data Engineer

The team

Join our Data Engineering Team at Kraken!

Are you passionate about leveraging the power of data to drive business decisions in the fast-paced world of cryptocurrency? We're seeking a talented Data Engineer to play a crucial role in our innovative Data Engineering team. As a Data Engineer at Kraken, you'll be at the forefront of transforming terabytes of data into actionable insights, enabling us to stay ahead in the ever-evolving cryptocurrency landscape.

If you are ready to be a driving force behind Kraken's data initiatives, working with cutting-edge technologies and a passionate team, we invite you to join us on this exciting journey at Kraken!

This role is fully remote. We consider candidates from Americas, EMEA, and APAC.

The opportunity

• 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.

Skills you should HODL

• 4+ years of work experience in relevant field (Data Engineer, DWH Engineer, Software Engineer, etc)
• Experience with data warehouse technologies and relevant data modeling best practices (Presto, Athena, Glue, etc)
• Experience building data pipelines/ETL and familiarity with design principles (Apache Airflow is a big plus!)
• Excellent SQL and data manipulation skills using common frameworks like Spark/PySpark, or similar.
• Proficiency in a major programming language (e.g. Scala, Python, Golang,..) 
• Experience with business requirements gathering for data sourcing