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    Data Engineer - Remote, United States - MillerKnoll, Inc.

    MillerKnoll, Inc.
    MillerKnoll, Inc. Remote, United States

    3 weeks ago

    Default job background
    Full time
    Description

    Why join us?

    Our purpose is to design for the good of humankind. It's the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone.

    GENERAL PURPOSE

    Responsible for the movement and integration of data across multiple disparate systems. Cleans, normalizes, and aggregates for Herman Miller corporate reporting and analytics. Provides support to functional areas by acting as expert in tools and methods for accessing, analyzing, and reporting corporate data.

    ESSENTIAL FUNCTIONS

    Assist end users of reporting and analysis tools.

    Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.

    Defines company data assets (data models).

    Designs data integrations and data quality framework.

    Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.

    Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

    Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

    Works closely with a team of application developers, architects, and analysts.

    Works closely with all business units and software teams to develop strategy for long term data platform architecture.

    Writes unit/integration tests, and documents work.

    Performs additional responsibilities as requested to achieve business objectives.

    Additional Essential Functions

    QUALIFICATIONS

    Education/Experience

    Education/Experience - Not Parsed

    Bachelor's Degree in Computer Science or a related technical field.

    At least 5 years of experience; or an equivalent combination of education and experience.

    Experience designing, building, and maintaining data processing systems.

    Experience working with cloud services and cloud data warehouse.

    Experience in retail and online retail data.

    Previous experience with Snowflake, Matillion, Tableau, Business Objects and Net Suite are all desirable.

    Licenses and Certifications

    Skills and Abilities

    Fully proficient data engineering abilities typically gained through 5+ years of working with Python/Java, SQL, and working schema design and dimensional data modeling.

    Ability in managing and communicating data warehouse plans to internal clients.

    Expert knowledge of best practices and IT operations in an always-up, always-available service.

    Experience with or knowledge of Agile Software Development methodologies.

    Advanced problem solving and troubleshooting skills with the ability to identify and solve complex business needs.

    Process oriented with great documentation skills.

    Excellent oral and written communication skills with a keen sense of customer service.

    Additional Skills and Abilities

    PHYSICAL DEMANDS

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