Become a Part of the NIKE, Inc. Team
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.
WHO YOU’LL WORK WITH
A Lead data engineer will work in the Data and Artificial Intelligence organisation 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.
As a Lead data engineer you will work with your team to build robust data pipelines that are highly efficient and scalable and optimized by following the standards defined by the Principal Engineers.
WHO WE ARE LOOKING FOR
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. Excellent interpersonal skills and good experience in leading team of engineers and analysts.
The core competencies required for this role include -
• Bachelor’s degree in computer science engineering or equivalent
• 5-8 years of hands-on experience in data engineering field
• In depth big data tech stack knowledge
• Expertise in pyspark and SQL
• Expertise in databricks, snowflake, airflow, any one of the cloud ( AWS , Azure , GCP )
• Excellent written and verbal communication skills
WHAT YOU’LL WORK ON
As a lead data engineer, You will collaborate closely with Architects and principal engineers and the engineering managers 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
• Oversee the design and build components, frameworks and libraries at scale to support NIKE products
• Review design, code, test plans, and dataset implementation performed by other engineers in support of maintaining NIKE engineering standards
• Anticipate, identify, and troubleshoot complex issues and perform root cause analysis to proactively resolve products and operational issues
• manage the process of building continuous integration, test-driven development and production deployment frameworks
• 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
OUR HIRING GAME PLAN
01 Apply
Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.
02 Meet a Recruiter or Take an Assessment
If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.
03 Interview
Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.
