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
You will be part of the Digital Design & Merchandising, Product Creation, Planning, and Manufacturing Technology team at Converse. You will take direction and work primarily with the Demand and Supply team, supporting business planning space. You'll work with a talented team of engineers, data architects, and business stakeholders to design and implement scalable data integration solutions on cloud-based platforms to support our planning org. The successful candidate will be responsible for leading the integration of planning systems, processes, and data across the organization
WHO WE ARE LOOKING FOR
We're looking for a seasoned Cloud Integration Lead with expertise in Databricks, Apache Spark, and cloud-based data integration. You'll have a strong technical background, excellent collaboration skills, and a passion for delivering high-quality solutions.
The ideal candidate will have:
5+ years of experience with Databricks, Apache Spark, and cloud-based data integration.
Strong Technical expertise with cloud-based platforms, including AWS and or Azure cloud.
Strong programming skills in languages like SQL, Python, Java, or Scala.
3+ years' experience with cloud-based data infrastructure and integration leveraging tools like S3, Airflow, EC2, AWS Glue, DynamoDB & Lambdas, Athena, AWS Code deploy, Azure Data Factory, or Google Cloud Dataflow.
Experience with Jenkins and other CI/CD tools like GitLab CI/CD, CircleCI, etc.
Experience with containerization using Docker and Kubernetes.
Experience with infrastructure such as code using tools like Terraform or CloudFormation
Experience with Agile development methodologies and version control systems like Git
Experience with IT service management tools like ServiceNow, JIRA, etc.
Data warehousing solutions, such as Amazon Redshift, Azure Synapse Analytics, or Google BigQuery will be a plus but not mandatory.
Data science and machine learning concepts, including TensorFlow, PyTorch, or scikit-learn will be a plus but not mandatory.
Strong technical background in computer science, software engineering, or a related field.
Excellent collaboration, communication, and interpersonal skills.
Experience with data governance, data quality, and data security principles.
Ability to lead and mentor junior team members.
AWS Certified Solutions Architect or AWS Certified Developer Associate or Azure Certified Solutions Architect certification.
WHAT YOU’LL WORK ON
Design and implement scalable data integration solutions using Databricks, Apache Spark, and cloud-based platforms.
Develop and implement cloud-based data pipelines using Databricks, Nifi, AWS Glue, Azure Data Factory, or Google Cloud Dataflow.
Collaborate with cross-functional teams to deliver high-quality solutions that meet business requirements.
Develop and maintain technical standards, best practices, and documentation.
Integrate various data sources, including on-premises and cloud-based systems, applications, and databases.
Ensure data quality, integrity, and security throughout the integration process.
Collaborate with data engineering, data science, and business stakeholders to understand requirements and deliver solutions.
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.
