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 senior 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.
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.
The core competencies required for this role include -
• Bachelor’s degree in computer science engineering
• 5+ years of hands-on experience in data engineering field
• In depth big data tech stack knowledge
• Expertise in pyspark, SQL and data modelling
• Expertise in databricks, snowflake, EMR, airflow
• Pipeline design and architectural skillset
• Knowledge on performance tuning of big data pipelines
• Excellent written and verbal communication skills
• Mentoring and guiding skills
WHAT YOU’LL WORK ON
As a senior data engineer, you'll be a key pillar of the data engineering team. You'll be driving the overall design of data pipelines and 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
• Contribute towards the design and architecture of overall data landscape at Nike
• Collaborate with lead and principal engineers to define and implement quality standards across data pipelines
• Collaborate with engineering leadership to define and implement observability metrics 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.
