Conviértete en parte del equipo de NIKE, Inc.
NIKE, Inc. hace más que vestir a los mejores atletas del mundo. Es un lugar para explorar el potencial, borrar límites y ampliar los límites de lo que puede ser. La empresa busca personas que puedan crecer, pensar, soñar y crear. Su cultura prospera al abrazar la diversidad y recompensar la imaginación. La marca busca triunfadores, líderes y visionarios. En NIKE, Inc. se trata de que cada persona aporte habilidades y pasión a un juego desafiante y en constante evolución.
Senior Data Engineer - NIKE, Inc. - Beaverton, OR. Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem. Design and create products to elevate human potential on a global scale. Build a smarter, more connected and automated value chain and create first-class solutions for NIKE technology and its business partners. Develop projects related to supply chain, commerce, consumer behavior and web analytics. Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology. Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes. Research, evaluate and utilize new technologies, tools, and frameworks centered on high-volume data processing. Evaluate technical feasibility or risks and conveying that information to the team. Translate backlog items into engineering design and logical units of work. Profile and analyze data for the purpose of designing scalable solutions. Define and apply appropriate data acquisition and consumption strategies for given technical scenarios. Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns. Implement complex automated routines using workflow orchestration tools and work with architecture, engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to. Anticipate, identify and solve issues concerning data management to improve data quality. Build and incorporate automated unit tests and participating in integration testing efforts. Utilize and advance continuous integration and deployment frameworks. Troubleshoot data issues and performing root cause analysis. 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.
Employer will accept a Bachelor’s degree in Computer Engineering or Computer Science and 5 years of experience in the job offered or in an engineering-related occupation.
Experience must include:
• Python
• SQL
• Pyspark
• AWS EMR
• Airflow
• Snowflake
• AWS S3
• Databricks
• Hadoop
• Databricks
Apply at www.jobs.nike.com (Job #R-47581).
#LI-DNI
We are committed to fostering a diverse and inclusive environment for all employees and job applicants. 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.
NUESTRO PLAN DE CONTRATACIÓN
01 Postúlate
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02 Habla con un reclutador o haz una evaluación
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03 Entrevista
Entra en esta fase con confianza: investiga, entiende lo que buscamos y prepárate para las preguntas que nos harán saber más sobre ti y tus antecedentes.
