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    Business Intelligence Data Engineer - New York, NY, United States - Oura

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    Description

    Oura is an award-winning and fast-growing startup that helps people track all stages of sleep and activity using the Oura Ring and connected app.

    By providing daily feedback and practical steps to inspire healthy lifestyles, we've helped over one million people improve their sleep, understand their bodies, and transform their health.

    We're on a mission to empower every person to own their inner potential, and we're seeking candidates who want to make an impact on our journey.

    For us, empowering the world starts with living our values and empowering our team.

    As a quickly growing company focused on helping people live healthier and happier lives, we work to promote work-life balance and ensure that our team members have what they need to do their best work — both in and out of the office.

    We are looking for a Data Engineer to join our IT Business Intelligence (BI) team in North America. This is a remote position. Eastern time zone preferred but open to all USA, Mountain, Central and Pacific time zones.

    What You Will Do:


    Design, build and optimize data warehouse models, transformations (ETL) and pipelines, working in collaboration with analysts and stakeholders across Oura.

    Drive standardization, conformity, quality and protection of data across Oura as a passionate advocate of data management and governance principles.

    Extract data from internal systems, 3rd party platforms and external vendors to facilitate integration with Oura's data warehouse
    Collaborate on requirements definition, design and creation of key data warehouse assets to enable self-service analytics within teams across the organization
    Write advanced, complex SQL queries to help build robust data models and improve Oura's data architecture
    Assist analysts in troubleshooting SQL queries for performance optimization and simplification.

    We would love to have you on our team if you have any of the following, but don't worry too much if you don't meet all the requirements:5+ years experience in data engineering and data warehouse/lake design, with specific experience working in Snowflake, dbt, AWS, Terraform and FiveTran or equivalents.

    Experience in managing relationships with stakeholders, gathering requirements and balancing tactical and strategic aspects of evolving a healthy data warehouse.

    Deep understanding of ETL and data modeling concepts and patterns. Proficiency with SQL, Python, Spark and TypeScript are a plus.
    Experience working with AWS services including S3 and Sagemaker, and integrating them with Snowflake.
    Experience with DataOps/DevSecOps principles and practices (e.g. Github Actions, Terraform Cloud, CDK)
    2+ years of experience working with Tableau Desktop and Tableau Online environments. A bonus if you have experience working with Snowflake alongside Tableau.
    Familiarity with architectural patterns and best practices, especially those associated with BI solutions.
    Thrive in a fast-paced, sometimes unpredictable, and highly collaborative work environment spread across the globe
    Bachelor's or Master's Degree in computer science, physics, math, or a related field

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