Senior Data Engineer, Converse Technology (Open to Atlanta, Beaverton, Boston location)

Nike

3.7

(41)

Beaverton, OR

Why you should apply for a job to Nike:

  • 60% say women are treated fairly and equally to men
  • 56% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.

    #21272_R-44993

    Position summary

    n a hard-working team environment and have an ability to both influence and communicate effectively with team members and business stakeholders alike.

    • Bachelor's degree or equivalent combination of education, experience or training

    • Minimum 5 years relevant work experience

    • Experience with data modeling, warehousing and building ETL pipelines; Must
      have experience with any ETL tools, preferably Matillion

    • Experience with SQL and scripting languages such as Python, Shell

    • Experience building cloud scalable, real-time and high-performance data lake
      solutions, preferably Databricks, Snowflake, AWS

    • Experience with source control tools preferred GitHub or Jenkins, terraform

    • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR and
      orchestration tools like Airflow

    • A passion for data solutions and winning as a team

    WHAT YOU'LL WORK ON

    As a Senior Data Engineer on the Enterprise Data & Analytics team, you will drive work to completion with hands-on development responsibilities, and partner with the Lead Engineers to deliver quality components of a data product. You will build reusable components of a larger data pipeline to support data analytics products with guidance from experienced peers, all while working within an agile framework that focuses on delivering incremental value.

    • Design and build reusable components of a larger process or framework to support analytics products with guidance from experienced peers

    • Design and implement simple product features in collaboration with business and Technology stakeholders

    • Clean, prepare and optimize data for ingestion and consumption

    • Support the implementation of new data management projects and re-structure of the current data architecture

    • Implement simple automated workflows using workflow scheduling tools, such as Matillion or Brickflow

    • Understand and use current continuous integration, test-driven development and production deployment frameworks

    • Participate in design, code and test plan reviews to increase knowledge and application of best practices

    • Analyze and profile data for the purpose of designing components of a scalable solution

    • Troubleshoot straightforward data issues and perform root cause analysis to resolve product issues

    We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

    Why you should apply for a job to Nike:

  • 60% say women are treated fairly and equally to men
  • 56% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.