Senior Software EngineerRemote

Title: Senior Software Engineer

Location: Remote, US

Duration: 7 months contract

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, it’s about each person bringing skills and passion to a challenging and constantly evolving game.

The ROLE & YOUR TEAM

We are looking for a Senior Software Engineer on Data Enablement team who has the knowledge, experience, and passion to deliver solutions that amaze our consumers, who will understand the needs of managing a modern data environment while maintaining privacy, compliance, user consent, & adhering to local jurisdiction governing usage of data. Our software comprises services, APIs, and solutions that address those challenges and enable our customers to deliver heir overall objectives and support enterprise consumers of their data.

You will be working on software projects related to privacy & governance that support Analytics, Supply Chain and Commerce among others. Your strong problem-solving, collaboration and interpersonal communication skills, desire to learn, share knowledge with others will position you well for this role.

In this role, you will work with a variety of talented Nike teammates and be instrumental in delivering innovative and quality products that enable a consistent, maintainable and highly scalable solutions. We don’t need you to just code, you must also be able to solve problems and be the champion for ensuring our software is of the highest quality. You will be an advocate of new technology and development techniques and be a driving force for building world-class solutions for Nike Technology and its business partners.

Role responsibilities:

• Technology competencies:
• Design and implement scalable software in collaboration with product owners, data engineers, and business partners using Agile/Scrum methodology
• Maintain and improve existing software
• Experience delivering software on AWS or other cloud provider
• Provide work estimates and represent work progress and challenges
• Profile and analyze data for the purpose of designing scalable solutions
• Utilize continuous integration and deployment frameworks including automated unit tests and integration testing
• Create integrations with various vendor software and in-house software
• Experience with OTP & OLAP Databases as well as NoSql dbs and data wharehouses, datalake & lakehouse concepts

Engineering Delivery:

• Design and implement highly scalable cloud-based data services
• Develop frameworks that enable data ingestion using various patterns
• Anticipate, identify and solve issues concerning data management to improve data quality, address operational & performance issues, remove technical bottlenecks and perform root cause analysis as needed.
• Contribute to collaborative reviews of designs, code, and test plans
• Support existing applications, resolve defects and enhancements

The following qualifications and technical skills are essential for this role:

• Bachelor’s degree in Computer Science, related degree, and/or relevant industry experience
• 5+ years of experience in software development building back end components and services
• Experience building Services, API’s – REST, gRPC, GraphQL
• Professional experience using AWS services such as: EMR, Lambda, Elasticsearch, RDS, Dynamo & Kinesis
• Ability to code in Python, Java, Javascript Scala or other OO & FP languages
• Experience with IaC (infra as code) using tools like Terraform and/or CloudFormation
• Using build automation tools such as Jenkins
• Experience with source code control tools like GitHub or Bitbucket

The following skills and experience are also relevant to our overall environment, and nice to have:

• Experience using Jira
• Experience using Splunk
• Experience writing unit tests, integration tests & e2e tests
• Knowledge of data wharehouse, data lake & lakehouse concepts

Preferred Skills:

Python, Java, Scala, Javascript, Sql, streams, streaming data, NoSql, data warehousing, RDS, Postgresql, CoPilot, JetBrains, unit testing, integration testing, OOD, FP, Data Modeling, distributed systems.