Middle BI/DWH engineer

  • Overview

    Nordstrom Data Technology is pivotal to the Nordstrom customer experience. As a Middle Engineer you will build the next generation of the Nordstrom Analytics Platform and deliver on the strategic vision of Customer focused features and services to enhance “The Nordstrom Customer Service Excellence”.

    An Engineer is a key part of Nordstrom Technology team that applies scientific, mathematical and social principles to design, build, and maintain technology products, devices, systems and solutions.

    The ideal candidate has experience in data transformation and modeling, mostly focused on BI with data engineering knowledge and/or experience.

    Technologies used on the project: Java, Spark, Kafka, Hadoop cluster, AWS, TeraData, Tableau

  • Responsibilities

    • Support the development and evolution of our data warehouse and BI platform.
    • Partner with the BI Manager, Data and BI Engineers, Program Managers and Analysts on building a best-in-class suite of tools and reporting mechanisms to bring the most salient, insightful data more directly into key business functions.
    • Design and implement modernized ETL and data processing solutions through modernized cloud-based solutions (S3, Redshift, etc) and deprecate legacy on-premise solutions (Oracle, etc)
    • Develop data integration solutions leveraging multiple disparate sources.
    • Continual performance tuning and capacity planning for future growth potential.
    • Provide a constant flow of new and innovative ideas into the BI roadmap.
    • Integrates broad working knowledge in related disciplines to create integrated technical innovations/ solutions for complex business situations
  • We Require

    Must have:

    • BI experience: data modeling and data transformation, Classical Data Warehouse, Data structures and data marked
    • 2+ years of experience writing advanced SQL
    • Experience in BI reporting technologies such as Tableau, Tibco, Qlikview
    • Experience with one of Java, Python or Scala

    Nice to have:

    • Cloud Computing Experience (e.g AWS, Azure)
    • Data engineering experience
    • Experience with Spark
    • Experience with Hadoop
    • Microstrategy experience

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