Entry Data Engineer

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, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

A data engineer will work in the Enterprise Data and Artificial Intelligence organization of Nike and will focus on building highly complex and performant data pipelines that'll drive Nike's data driven strategies for the future of sports.

In this role, we are looking for self-driven individuals who have deep technical knowledge in the big data domain. This role requires the individual to be an excellent problem solver who'll design and implement complex data pipelines which solve business problems of Nike.

The core competencies required for this role include:

• Bachelor’s degree in computer science engineering
• 2+ years of hands-on experience in the data engineering field
• In-depth big data tech stack knowledge
• Expertise in pyspark and SQL
• Expertise in databricks, snowflake, airflow
• Excellent written and verbal communication skills

As a data engineer, you'll be a key pillar of the Finance Analytics data engineering team. You will collaborate closely with other engineers to deliver key changes to data pipelines that drive Nike's data strategy.

On a day-to-day basis, you'll focus on:

• Building, enhancing, and troubleshooting complex data pipelines
• Collaborating with product managers, engineers, analysts to build, enhance and troubleshoot data pipelines
• Collaborate with senior, lead and principal engineers to define and implement quality standards across data pipelines
• Contribute towards the design and architecture of data pipelines
• Implement data quality and reliability measures across data pipelines
• Understand the engineering excellence principles and guidelines and work towards implementing them
• Work in service of our business end users and complement their efficiencies through tooling and automation.