Company

NikeSee more

addressAddressBeaverton, OR
type Form of workContractor
CategoryInformation Technology

Job description

Apply Remote, open to relocating to be onsite in the future. Category: Technology Innovative Technology; High Quality Products, Self-Empowerment Globally Responsible; Sustainable Products, Diversity of Thought Celebration of Sports; If You Have a Body, You are an Athlete Title: Big Data Engineer Location: Beaverton, OR Duration: 2 month 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. WHAT YOU WILL WORK ON Nike is embracing Big Data technologies to enable data-driven decisions.

We're looking to expand our Big Data Engineering team to keep pace. As a Sr. Big Data Engineer, you will work with a variety of talented Nike teammates and be a driving force in technical initiatives that will accelerate analytics at Nike.

You will be working on projects that build data artifacts to answer questions about consumer behavior, commerce trends, consumer touchpoint preferences and more! WHAT YOU WILL DO Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. You will be given the opportunity to own the design and implementation.

You will collaborate with Product managers, Data Scientists, Engineering folks to accomplish your tasks. Design, Develop, Modernize/Migrate pipelines to Databricks. Develop applications on Cloud preferably AWS.

Explore and build proof of concepts using open source NOSQL technologies such as HBase, DynamoDB, Cassandra and Distributed Stream Processing frameworks like Apache Spark, Kafka stream. Take part in DevOps by building utilities, user defined functions and frameworks to better enable data flow patterns. Work with architecture/engineering leads and other teammates to ensure high quality solutions through code reviews, engineering best practices documentation.

Experience in Business Rule management systems like Drools will also come in handy. WHAT YOU WILL BRING MS/BS degree in a computer science or related discipline 5+ years' experience in large-scale software development/Big Data technologies Programming skills in Java/Scala, Python, Shell scripting, and SQL Development skills around Hadoop, Spark, PySpark, Hive Expert knowledge and experience in Databricks, Lake House, Structured Streaming, Kafka, Delta Lake, Delta Live table, Delta share etc. Not sure if this is you?

We are particularly interested in having a diverse team with a broad set of skills and viewpoints. If this seems like your dream job, but you're not sure if you qualify, apply anyway! We'll carefully consider every applicant that takes the time to apply for this specific position.

We'll either move forward with you, keep in touch for later opportunities, or thank you for your time. We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Published on 12 Mar 2024, 10:11 PM

Refer code: 9059767. Nike - The previous day - 2024-04-17 06:22

Nike

Beaverton, OR
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