At Nike, we leverage the power of data and technology to serve athletesaround the world. The Data & AI (DAI) team is at the forefront of this mission--building scalable, secure, and intelligent platforms that power decision-making and personalized experiences across the Nike ecosystem.
WHO WE ARE LOOKING FOR
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We are looking for an experienced software engineer with a passion for designing and building robust data platforms and solutions. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering scalable and reliable data platforms and services.
Skillset Required
7+ years
of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.
Expertise in big data technologies such as
Apache Spark
and real-time streaming technologies like
Apache Kafka
.
Advanced knowledge of a
major cloud platform (AWS, Azure, GCP)
and its ecosystem of data services.
Proficiency
with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation
.
Strong understanding of
advanced data modeling techniques
and modern data warehouses.
Ability to
design scalable, fault-tolerant, and maintainable distributed systems
.
Excellent communication and stakeholder management skills.
WHAT YOU'LL WORK ON
-----------------------
Design, build, deploy, and own complete, scalable, and reliable data platforms and solutions.
Lead the
technical design of new data pipelines, services, and systems
.
Build
reusable frameworks, libraries, and data management tools
to improve productivity.
Optimize performance and
cost-efficiency of data workflows and compute layers
.
Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements into
technical solutions
.
Provide
technical leadership and mentorship
to junior engineers.
* Ensure the
uptime, reliability, and monitoring
of the systems you build and own.
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