Nike - Salem, OR

posted 2 months ago

Full-time - Mid Level
Remote - Salem, OR
Leather and Allied Product Manufacturing

About the position

The Data Engineer position at NIKE, Inc. involves collaborating with various teams to build data and analytic solutions for the Marketplace & Consumer Domains. The role requires a strong background in data engineering, programming, and cloud-based data platforms, with a focus on developing scalable data solutions in a fast-paced environment.

Responsibilities

  • Build small, well-defined, reusable components of a larger process or framework to support analytics products with guidance from experienced peers
  • Build well-defined components that support the implementation of product features in collaboration with business and Technology stakeholders
  • Solve straightforward data management issues to improve data quality
  • 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 and routines using workflow scheduling tools
  • 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 designing components of a scalable solution
  • Troubleshoot complex data issues and perform root cause analysis to resolve product issues

Requirements

  • Bachelor's degree in Computer Science or other relevant fields of Study
  • 3+ years of relevant experience in developing Data & Analytic solutions
  • 1+ years experience building data lake solutions using AWS, Databricks, DBSQL, EMR, S3, Hive & Spark
  • Experience with relational SQL
  • 1+ years experience with scripting languages such as Shell, Python
  • Deep knowledge of Cloud based data platforms and architecture
  • Strong problem solving and analytical mindset
  • Strong verbal and written communication skills
  • Ability to quickly pick up new programming languages, technologies, and frameworks
  • Experience with source control tools such as GitHub
  • Experience with Cloud computing platforms and Data Engineering
  • Experience working in Agile/Scrum Methodology
  • Passion for data solutions

Benefits

  • Generous total rewards package
  • Casual work environment
  • Diverse and inclusive culture
  • Professional development opportunities
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