About the company
Kraken, the trusted and secure digital asset exchange, is on a mission to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Our 2,350+ Krakenites are a world-class team ranging from the crypto-curious to industry experts, united by our desire to discover and unlock the potential of crypto and blockchain technology. As a fully remote company, we already have Krakenites in 70+ countries (speaking 50+ languages). We're one of the most diverse organizations on the planet and this remains key to our values. We continue to lead the industry with new product advancements like Kraken NFT, on- and off-chain staking and instant bitcoin transfers via the Lightning Network.
Job Summary
The opportunity
šBuild scalable and reliable data pipelines that collect, transform, load and curate data from internal systems šAugment data platform with data pipelines from external systems. šEnsure high data quality for pipelines you build and make them auditable šDrive data systems to be as near real-time as possible šSupport design and deployment of distributed data store that will be central source of truth across the organization šBuild data connections to company's internal IT systems šDevelop, customize, configure self service tools that help our data consumers to extract and analyze data from our massive internal data store šEvaluate new technologies and build prototypes for continuous improvements in data engineering.
Skills you should HODL
š5+ years of work experience in relevant field (Data Engineer, DWH Engineer, Software Engineer, etc) šExperience with data-lake and data-warehousing technologies and relevant data modeling best practices (Presto, Athena, Glue, etc) šProficiency in at least one of the main programming languages used: Python and Scala. Additional programming languages expertise is a big plus! šExperience building data pipelines/ETL in Airflow, and familiarity with software design principles. šExcellent SQL and data manipulation skills using common frameworks like Spark/PySpark, or similar. šExpertise in Apache Spark, or similar Big Data technologies, with a proven record of processing high volumes and velocity of datasets. šExperience with business requirements gathering for data sourcing. šBonus - Kafka and other streaming technologies like Apache Flink.
The crypto industry is evolving rapidly, offering new opportunities in blockchain, web3, and remote crypto roles ā donāt miss your chance to be part of it.
