Únete al equipo de NIKE, Inc.
NIKE, Inc. no solo viste a las mayores estrellas del deporte del mundo. También te permite explorar tu potencial, romper las barreras e ir más allá de lo que creías posible. Buscamos personas capaces de crecer, pensar, soñar y crear. La cultura de la empresa anima a aceptar la diversidad y recompensar la imaginación. Necesitamos personas sin miedo al éxito, líderes y con una mentalidad visionaria. En NIKE, Inc. todo el mundo aporta sus habilidades y pasiones, en un entorno exigente en continuo cambio.
Lead Data Engineer - NIKE, Inc. - Beaverton, OR. 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; evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing; drive the implementation of new data projects and the optimization of existing solutions; translate product backlog items into engineering designs 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; design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem; build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns; implement complex automated routines using workflow orchestration tools; drive collaborative reviews of designs, code, and test plans; work with architecture, principal engineer and other teams to ensure quality solutions are implemented, and engineering standard methodologies are defined and followed; anticipate, identify and tackle issues concerning data management to improve data quality; build and incorporate automated unit tests and participate in integration testing efforts; utilize and advance continuous integration and deployment frameworks; solve complex data issues and perform root cause analysis; collaborate closely with Product team counterparts; work across teams to resolve operational & performance issues; provide work estimates and represent work progress and challenges; identify and remove technical bottlenecks for your engineering squad; and provide leadership, guidance and mentorship to other data engineers. 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 Science or Computer Engineering and five (5) years of progressive, post-baccalaureate experience in job offered or in an engineering-related occupation.
Experience must include:
Python
Spark
Databricks
Snowflake
S3
EC2
Athena
AWS Lambda
Glue
API Gateway
RDS Aurora
Apply at www.jobs.nike.com (Job #R-52875).
#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.
PROGRAMA DE CONTRATACIÓN
01. Presenta una solicitud
Nuestros equipos son diversos y están formados por personas que aportan capacidades, conocimientos, ideas y experiencias diferentes. Queremos que encuentres el trabajo perfecto para ti, así que lee las descripciones de los puestos, los departamentos y los equipos.
02. Conoce al/a la responsable de la selección de personal o haz una evaluación
Si te seleccionan para ocupar un puesto corporativo, la persona responsable de la contratación te contactará para comenzar las entrevistas y será tu punto de contacto principal durante todo el proceso. Para los puestos de Retail, tendrás que completar una evaluación interactiva de entre 10 y 20 minutos que incluye una conversación y cuestionarios. Independientemente de tu puesto, queremos conocer todas tus facetas, así que no tengas reparo en enseñar cómo ofreces un servicio premium y qué es lo que te diferencia de los demás.
03. Haz una entrevista
Enfréntate a esta fase con confianza. Para ello, investiga, entiende lo que buscamos y prepárate para responder a las preguntas que te hagan para conocerte mejor a ti y a tu experiencia.
