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Oak Brook

    Remote Data Engineer - Oak Brook, United States - 1872 Consulting

    1872 Consulting
    1872 Consulting Oak Brook, United States

    2 weeks ago

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    Description
    Sr. Data Engineer
    Remote - Onsite 3 days per month in Greater Chicago

    Position Summary:
    This role is responsible for providing technical expertise and leadership to design and deliver end-to-end data engineering solutions to support advanced analytics capabilities and drive innovation and decision-making across our enterprise.

    Responsibilities:
    • Build and maintain real-time and batch data pipelines across the advanced analytics platform.
    • Design, develop and orchestrate highly robust and scalable ETL pipelines.
    • Design and implement Dimensional and NoSQL data modeling as per the business requirements.
    • Develop highly optimal codebase and perform Spark optimizations for Big Data use cases.
    • Design, develop and deploy optimal monitoring and testing strategy for the data products.
    • Collaborate with stakeholders and advanced analytics business partners to understand business needs and translate requirements into scalable data engineering solutions.
    • Collaborate with data scientists to prepare data for model development and production.
    • Collaborate with data visualization and reporting application developers to ensure the sustainability of production applications and reports.
    • Collaborate with data architects on the enhancement of our enterprise data architecture and platforms.
    • Provide leadership to third-party contractors.
    • Comply with health and safety guidelines and rules.
    • Maintain professional and technical knowledge by attending educational workshops, professional publications, establishing personal networks, and participating in professional societies.
    Requirements:
    • 4+ years of experience in Data Engineering
    • 2+ years of experience with Advanced Analytics or Data Science
    • Proficient in Spark
    • Experience with Azure
    Nice to have:
    • Experience with IoT Data Architecture.
    • Machine Learning Operationalization (MLOps) proficiency.
    • Proficiency with streaming design patterns

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