Job Description


Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.   What makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, youll join us on our mission to accelerate the adoption of cryptocurrency so the world can achieve financial freedom and inclusion. For over a decade, Krakens focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.    Before you apply, please read the Kraken Culture Explained to learn more about our internal culture, values, and mission.   As a fully remote company, we have Krakenites in 60+ countries who speak over 50 languages. Krakenites are industry pioneers who have a long track record of building premium products for professionals and institutions as well as newcomers to the space. Kraken is committed to industry-leading security through our products like Kraken Pro, Kraken NFT, and Cryptowatch, with a focus on world-class customer support and crypto education for all.    Become a Krakenite and build the internet of money!   Proof of Work   The team   The Data Engineering team is responsible for designing and implementing scalable solutions that allow the company to make data-driven decisions quickly and accurately on petabytes of data. The team maintains the companys data warehouse and data lake, and is responsible for creating various pipelines to move and process vast amounts of data, including both batch and streamed data, through different data products. In this role, you will work closely with the Finance team to build data products that support Finance transformation, enabling the company to be an industry pioneer. The opportunity

  • Build scalable and reliable data pipelines that collect, transform, load and curate data from both internal financial systems and blockchains
  • Ensure high data quality for pipelines you build and make them auditable by Finance stakeholders
  • Drive data systems to be as near real-time as possible
  • Build data connections to company's internal IT systems
  • Develop, customize, and configure self service tools that enable Finance stakeholders 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
  • 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 (Athena, Iceberg, Druid, 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, Pandas, or similar
  • Proficiency in a major programming language (e.g. Scala, Python, ...)
  • Experience with business requirements gathering for data sourcing
  Nice to have
  • Experience working in finance, fintech, or similar
  • Experience working with cloud services (e.g. AWS, GCP, ) and/or Kubernetes
  • Experience in building and contributing to data lakes in the cloud
  • Designing and writing CI/CD pipelines
  • Working with petabytes of data
  Location Tagging: #EU #US   Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!   As an equal opportunity employer, we dont tolerate discrimination or harassment of any kind. Whether thats based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.   

  • Data Structures
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