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. Drive work to completion with hands-on development responsibilities while partnering with the Engineering Manager to provide leadership and innovation on current projects; Work closely with the Product Manager, Lead Engineer, and other team members to drive to deliver data and analytics capabilities; Collaborate with business partners and other technology solution delivery, architecture, and platform teams; Design and build reusable components, frameworks and libraries at scale to support analytics products; Identify and tackle issues concerning data management to improve data quality; Build continuous integration, test-driven development and production deployment frameworks; provide production debut support and resolutions for customer production issues, including testing for upgrades for business object tools; collaborate with data scientists to understand requirements and translate them into technical solutions; provide support in data exploration, feature engineering, ensuring data availability and quality for machine learning models and running the simulations; design and implement data solutions for analytical queries and decision engine algorithms; work on performance tuning and optimization of data pipelines and database queries for improved efficiency and cost effectiveness; coordinate with various teams on their data to ensure smooth execution of data pipelines; conduct data audits and resolve data quality issues to ensure reliable simulations and analysis; and lead initiatives to continuously improve data engineering practices, adopt new technologies, and enhance data infrastructure capabilities. 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 Masters degree in Computer Science, Engineering, or Computer Information Systems and 2 years of experience in the job offered or in a computer-related occupation.
Experience must include:
• Apache Spark
• Apache Airflow
• Python
• Spark SQL
• Hive
• AWS
• PySpark
• Jenkins
• IntelliJ
• Hadoop
• Snowflake
• JIRA and GIT.
Apply at www.Nike.com/Careers (Job# -R-57039)
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
Nuestros equipos están formados por diversos conjuntos de habilidades, bases de conocimientos, contribuciones, ideas y antecedentes. Queremos que encuentres la opción perfecta: revisa las descripciones de los puestos, los departamentos y los equipos para descubrir la función ideal para ti.
02 Habla con un reclutador o haz una evaluación
Si te seleccionan para un puesto corporativo, un reclutador se pondrá en contacto contigo para iniciar tu proceso de entrevistas y será tu contacto principal durante todo el proceso. En el caso de los puestos de Retail, tendrás que realizar una evaluación interactiva que incluye una conversación y cuestionarios. Te tomará entre 10 y 20 minutos completarla. Independientemente del puesto, queremos conocerte a ti, a tu yo en su totalidad, así que comparte quién eres, qué te hace singular y qué deseas hacer.
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.
