Data Engineer I, ITC

Posted 2 Days Ago
Techno City, Sonarpur, South 24 Parganas, West Bengal
Junior
Other • Retail
At NIKE, Inc., technology is laying the foundation for our digital transformation and direct-to-consumer strategy.
The Role
The Data Engineer I at Nike focuses on building and maintaining complex data pipelines to support data-driven strategies in sports. Responsibilities include designing and implementing solutions in big data technologies, collaborating with teams to enhance data reliability and quality, and troubleshooting issues as they arise.
Summary Generated by Built In

WHO YOU’LL WORK WITH


A data engineer 1 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

  • 0-2 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

  • Excellent written and verbal communication skills

WHAT YOU’LL WORK ON

As a data engineer you'll be a key pillar of the 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.

Top Skills

Pyspark
SQL
The Company
HQ: Beaverton, OR
73,000 Employees
Hybrid Workplace
Year Founded: 1972

What We Do

At NIKE, Inc., it’s in our nature to innovate and our mission is to bring inspiration and innovation to every athlete* in the world [if you have a body, you’re an athlete]. Because we exist to serve athletes, we dare to design the future of sport. To us, innovation is about elevating human potential. We obsess over the needs of athletes of all abilities, using their insights to create products that are beautiful, useful and make all athletes better. To make big leaps, we take big risks. Incremental change won’t get us to where we want to go fast enough. So we pursue moonshots — like developing the first self-lacing shoe, running the first two-hour marathon and committing to 100% renewable energy use in our facilities. We embrace different perspectives — from scientists and designers to coders and quarterbacks — because we know everyone brings unique experiences and ideas to the team. To serve athletes across the hundreds of countries where NIKE does business, we need teams that truly reflect the diversity of our consumers and a culture of inclusivity. We aim to foster inclusion and embrace diversity throughout our business, teams, and culture to create breakthrough innovations, empower teammates to realize their full potential and bring us closer to the communities we serve. NIKE's diverse, high-performing teams around the world are united in purpose and inspired to change the world through sport.

Why Work With Us

With a global footprint, culture of innovation and team-first mentality, we take action to create a future of continual progress for athletes, sport and our world. Whether our job is designing the ultimate sneaker or coding a revolutionary app, we’re united by the same mission: to bring inspiration and innovation to every athlete in the world.

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