Offer summary

Qualifications:

Must have a Master's degree in Science, Computer Science, Computer Engineering, or Information Technology., 2 years of experience in the position offered or in an Engineering-related occupation., Proficiency in Spark, Python, SQL, and Databricks., Familiarity with cloud architecture, particularly AWS and DataBricks environments..

Key responsabilities:

Develop, code, configure, and test programs and systems to meet digital product specifications.

Lead the squad and work team, delivering a vision for work requirements and managing stakeholder expectations.

Design and build data pipelines, model data structures, and deliver business intelligence solutions.

Research and utilize new technologies and frameworks, while managing high volumes of data.

Job description

Lead Data Engineer - Nike Inc. - Beaverton, OR. Develop, code, configure, test programs and systems, and provide solutions to problems in order to meet defined digital product specifications and direction. Review, analyze, and modify programming systems, including coding, testing, debugging, and installing for a small- to mid-scale systems. Provide leadership to the squad and work team, deliver a vision for work requirements for the quarter. Design the scope of sprints within the quarter. Collaborate with the product owner and assist with managing stakeholder expectations and ensuring prompt and complete customer service. Commit to deliverables with customers and management. Build libraries, user defined functions, and frameworks on Hadoop and Cloud ecosystem. Research, evaluate, and utilize new technologies, tools, and frameworks around AWS and DataBricks ecosystems. Deliver solutions related to Cloud Big Data Platform implementations. Utilize knowledge of cloud architecture specifically in AWS and DataBricks environments. Design, develop, and deliver business intelligence and analytics solutions in collaboration with cross functional teams. Perform scripting in shell and python. Lead software development tasks and provide project management. Work with high volumes of data. Architect, design, and build data pipelines. Model data structures. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.

Must have a Masters degree in Science, Computer Science, Computer Engineering, Information Technology, and 2 years of experience in the position offered or in a Engineering-related occupation.

Experience must include:

Spark

Python

Databricks

Snowflake

Kafka

Spark Streaming

CICD/Jenkins

Airflow

Agile Scrum

Java

Scala

Teradata

Oracle

Apply at www.Nike.com/Careers (Job# R-57707)

#LI-DNI

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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