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    Data Engineer - Doral, United States - ERS Search

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    ERS Search Doral, United States

    3 weeks ago

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    Description
    Our client is a Global Financial Services Firm located in Miami.

    They are looking for a Data Engineer that will work on the acquisition, accessibility, normalizing, and cataloging of large sets of data.


    Responsibilities:
    Create and maintain optimal data pipeline architecture
    Extraction, transformation, and loading of data from a wide variety of data sources using Python and SQL
    Providing users access to datasets using REST and Python APIs
    Categorizing, cataloging, cleansing and normalizing of datasets
    Communicating with business users and technology stakeholders.

    Required skills/experience:


    3+ years experience with Masters or 5+ years with Bachelors degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

    Python and data analysis libraries (Pandas, NumPy, SciPy)
    Relational SQL database development
    Unix/Linux command-line experience
    Bachelors degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

    Desirable skills/experience:
    Object-oriented languages: Java, C++, etc.

    AWS cloud services:
    EC2, RDS, Athena, Lambda, etc.


    RDBMS:
    SQL Server and PostgreSQL

    Identity and Access Management:
    Kerberos, OAuth 2.0, LDAP

    Other:
    Apache HTTP Server, Kafka, Snowflake
    Broad understanding of fixed income, derivatives, futures, FX, or other financial-services instruments

    Other Qualifications:
    Excellent listening, and communication (both oral and written) skills.
    Self-starter and critical thinker, takes ownership of own projects and makes improvement suggestions for the entire infrastructure.
    Proactive, assertive and attentive to details.
    Can work independently and in a collaborative environment.
    Can handle several projects with different priorities at the same time in a fast-paced environment.
    Excellent self-management and problem-solving skills.
    Quick learner

    #J-18808-Ljbffr
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