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    Data Engineer - California, United States - Gilder Search Group

    Gilder Search Group
    Gilder Search Group California, United States

    2 weeks ago

    Default job background
    Description
    We are looking for a

    Data Engineer

    based in

    Latin America


    to work on a long-term project for one of our clients, a Data Analytics and Business Intelligence services company based in Los Angeles, California.

    Our client provides a transformational platform that allows access to sanctions intelligence and expertise.

    They perform deep data research and analysis on the networks and associated actors of individuals and entities targeted by sanctions.

    Responsibilities
    Build large-scale distributed data processing systems, data lakes, and optimize for both computational and storage efficiency on AWS Databricks.

    Create data pipelines and overall workflow orchestration to deliver customized data exports to clients in a predictable and timely manner.

    Design, build, evolve, and scale a state-of-the-art machine learning system infrastructure powering knowledge extraction systems that drive our client's data products.

    Design data schemas and operate cloud-based data lake-houses and SQL/NoSQL/temporal and graph based database systems.
    Take responsibility for the development, deployment, adoption monitoring and maintenance of the data systems and services you build.
    Collaborate with Machine learning / Deep learning researchers and backend engineers to implement scalable solutions to solve complex problems.
    Requirements
    Advanced Level of English
    4+ years experience as a software engineer or a data engineer
    Advanced SQL knowledge and experience working with multiple relational databases including schema design, access patterns, query performance optimization, etc.
    Software Engineer skills, with experience as backend developer, especially with Python.
    Experience with container-based deployment using Docker and Kubernetes
    Experience with DevOps methodologies and tools for automating and monitoring systems.
    Experience with data modeling for developing semantic knowledge graphs or graph databases like Neo4J, Neptune.
    Experience with AWS
    Bonus Points
    Bachelor's Degree in Computer Science, Systems Engineering or related fields
    Experience with big data technologies like Spark, Delta, Databricks.
    Experience with data modeling for data warehousing technologies like Snowflake, Redshift or Big Query.
    Understanding of elasticsearch data and query modeling is a plus.
    Experience with stream-processing systems: Storm, Spark-Streaming, Flink, etc.

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