Dataiku Engineer

PROLIM Global Corporation

  • Stamford, CT
  • 30+ days ago
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    Skills

    • Application Programming Interface (API)unmatched
    • Architectural Servicesunmatched
    • Best Practicesunmatched
    • Communication Skillsunmatched
    • Data Lakeunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Visualizationunmatched
    • DataArchitect Data Modeling Toolunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Ecosystemsunmatched
    • Enterprise Architectureunmatched
    • Financial Servicesunmatched
    • Information/Data Security (InfoSec)unmatched
    • Mentoringunmatched
    • Microsoft Windows Azureunmatched
    • Problem Solving Skillsunmatched
    • Python Programming/Scripting Languageunmatched
    • Regulatory Complianceunmatched
    • SQL (Structured Query Language)unmatched
    • Scripting (Scripting Languages)unmatched

    Description

    Role Name: Dataiku Engineer

    Job Location: Stamford, CT/Remote

    Job Type: Long Term Contract

    Mandatory Skill: Dataiku Engineering experience

    ROLE DESCRIPTION:

    • Collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions.
    • Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.
    • Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.
    • Ensure solutions align with enterprise data governance, security, and compliance standards.
    • Act as a technical advisor to the Data Management team, contributing to solution design and delivery.
    • Document architectural decisions and promote knowledge sharing across the team

    Qualifications:

    • 5+ years in data architecture, engineering, or related roles.
    • Proven experience as a Data Architect in enterprise environments, ideally in financial services.
    • Strong proficiency in Dataiku (DSS), with experience designing production-grade data pipelines and workflows.
    • Solid understanding of ETL/ELT, data modeling, and SQL.
    • Hands-on expertise with the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.).
    • Strong knowledge of Python and SQL scripting; experience with API integrations.
    • Ability to evaluate multiple implementation approaches and recommend optimal solutions.
    • Exposure to data visualization and data engineering practices.

    Excellent communication skills, with the ability to mentor

    Numbers & Facts

    LocationStamford, CT

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