Data Engineer

1 августа 2018    56
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By joining Kraken, you’ll work on the bleeding edge of bitcoin and other digital currencies, and play an important role in helping shape the future of how the world sees and uses money. At Kraken, we constantly push ourselves to think differently and forge new paths in a rapidly growing industry fraught with unexplored territory, which is why Kraken has grown to be among the largest and most successful bitcoin exchanges in the world. If you’re truly interested in pushing the envelope by disrupting an industry that some say cannot be disrupted, then we just might have the job meant for you. Kraken is a place for dreamers and doers - to succeed here, we firmly believe you must possess each in spades. Check out all of our job postings here https://jobs.lever.co/kraken.

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
    • 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

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