Lead Data Engineer

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.

NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary and collaborative, taking technology into the future and bringing the world with it.

Who are we looking for

We are looking for an experienced Lead Data Engineer to help lead and drive delivery of scalable data and analytics solutions, lead a team of junior and senior data engineers, implement new technologies, participate in solution design and architecture discussions. The ideal candidate will have outstanding communication skills, proven data design and implementation capabilities, strong eye for business, and a drive to deliver results. The person in this role will be technically proficient and excel at collaborating with engineers, analysts, and business partners. This person will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced dynamic environment.

What will you work on

In this role, you will build and deliver scalable data and analytics solutions focused on Nike Direct, Supply Chain, and Commercial space. You will design, implement and integrate new technologies and evolve data and analytics products. You will be contributing to all aspects of data engineering from ingestion, transformation, and consumption in addition to designing and building test-driven development, reusable frameworks, automated workflows, and libraries at scale to support analytics products. You will also participate in architecture and design discussions to process and store high-volume data sets.

Who will you work with

This person will join the North America Data & Analytics Organization and you will work with world-class talent in the field of Data Engineering with a goal of better business insights and driving data-driven decisions across the organization. You'll be working closely with hardworking teams - Internal partners, Product Owners, Engineering Leaders, Data Analysts, Big Data Leads, and Engineers. One of Nike's maxims is "Win as a Team" and you will be working in a very collaborative environment and will find success in teamwork, a positive attitude, and hard work.

What you bring

• Bachelor/Master degree in Computer Science or related technical subject area or equivalent combination of education and experience and training
• 7+ years relevant work experience in the Data Engineering field
• 4+ years proven experience working with Hadoop and Big Data processing frameworks (Spark, Hive, Nifi, Spark-Streaming, Flink, etc.)
• 2+ years experience building scalable, real-time and high-performance cloud data lake solutions
• Strong experience with relational SQL and programming languages such as Python, Scala, or Java
• Experience with source control tools such as GitHub and related CI/CD processes
• Experience working with Big Data streaming services such as Kinesis, Kafka, etc.
• Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
• Experience provisioning RESTful API's to enable real-time data consumption
• Experience working in AWS environment primarily EMR, S3, Kinesis, Redshift, Athena, etc
• Experience with data warehouses/RDBMS like Snowflake & Teradata
• Experience with workflow scheduling tools like Airflow
• Strong understanding of algorithms, data structures, data architecture, and technical designs.
• Proven ability to influence and communicate effectively with team members and business partners
• Proven track record to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.