Data Engineer – Expert

Nike

Category: Technology

  • Innovative Technology; High Quality Products, Self-Empowerment
  • Globally Responsible; Sustainable Products, Diversity of Thought
  • Celebration of Sports; If You Have a Body, You are an Athlete

Title: Data Engineer – Expert

Location: Beaverton, OR

Duration: 2 Year Contract

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
WHAT YOU WILL DO
We are looking for a skilled Data Engineer to join our team. You will be responsible for establishing database systems, standards, guidelines, and quality assurance for critical database deliverables. Key responsibilities include:

  • Designing, implementing, and maintaining database management systems
  • Coding complex programs and deriving logical processes on technical platforms
  • Building windows, screens, and reports
  • Participating in quality assurance and developing test code
  • Adapting business requirements to develop database specifications, tables, fields, and attributes
  • Determining optimal data storage organization and relationships between tables/fields

WHAT YOU BRING

  • Bachelor’s degree in Computer Science or related field
  • 5+ years experience in data engineering
  • 3+ years working with Python for data processing (Pandas, NumPy, PySpark, etc.)
  • 2+ years experience with data warehouse technologies like Databricks and Snowflake
  • Expertise in ETL, data modeling, governance, optimization, and migration
  • Proficiency with SQL and experience with RDBMS/NoSQL databases
  • Knowledge of AWS, Azure, or other cloud platforms
  • Familiarity with ETL tools like Airflow, AWS Glue, or Azure Data Factory
  • Excellent communication skills and ability to multitask
  • Experience with data governance tools like Collibra or Hackolade
  • Knowledge of data migration tools and strategies
  • Expertise in testing and validation techniques

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