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    Entry Level Software Developer - San Francisco, CA, United States - Legalist

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    Description

    Intro description:
    Legalist is an institutional alternative asset management firm.

    Founded in 2016 and incubated at Y Combinator, the firm uses data-driven technology to invest in credit assets at scale.

    We are always looking for talented people to join our team.

    Where You Come In:
    Help to design and implement the architecture of a large-scale data pipeline system
    Design, implement, and maintain various components of our ELT data processing infrastructure
    Collaborate with our product and business teams to understand / anticipate requirements to strive for greater functionality and impact in our data processing systems
    Scale architectural design work through data engineering, data governance, and solutions architecture
    Lead development of data architecture best practices, standards, design review processes, and creation of repeatable design documents
    Comfortable working in a fast-paced high-growth business
    What you'll be bringing to the team:
    ~4+ Years experience with Python for automation and data wrangling
    ~ Production experience in high-throughput distributed system
    ~ Familiarity with data warehousing concepts, tools and monitoring highly recommended (Airbyte, DBT, Bigquery, Redshift)
    ~ Ability to develop and maintain all aspects of a data processing pipeline end to end (Extract, Load, Transform, Monitor, Document)
    ~ Experience cleaning and wrangling data from multiple disparate structured and semi structured sources including (HTML, XML, REST, GraphQL, PDF, JSON, and spreadsheets.)
    ~ Experience with cloud environments like GCP, AWS, as well as containerization tools like Docker and orchestration such as kubernetes or others.
    ~ Familiarity with message brokers such as Kafka, RabbitMQ, Google Pub/Sub
    ~ Good understanding of different types of databases (Postgres, Redis, Google Datastore, Google Bigtable, etcd)
    ~ Mastery of computer science basics: Algorithm, OOP, SQL, ORM, Recursion, Memoization, Caching, Common Design Patterns

    Even better if you have, but not necessary:
    Experience with microservices architecture would be a plus.
    Experience with DevOps
    Experience with reporting tools such as Power BI, Grafana, Tableau

    What you can expect:
    A competitive salary, package and the chance to make your mark at a fast growing FinTech company
    An amazingly talented and supportive team, founders, and investors
    Focus on personal career growth and development, with options for professional training
    Flexibility with working hours, focus is on output and professional performance
    Flexibility with working location, again focus is on output and quality of work
    Brand new technology and industry best practices. Strategic experimentation and innovation is welcomed and appreciated
    #J-18808-Ljbffr


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