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.
WHO YOU’LL WORK WITH
You will be a part of the larger Global Technology organization working on Nike’s internal product tools and report to the team’s Engineering Director. You will work day-to-day with a team of engineers, the team’s Technical Product Manager and Principal Engineers in the organization on software projects to achieve Nike’s business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals.
WHO WE ARE LOOKING FOR
We’re looking for a Data Engineer to solve complex software engineering problems supporting Nike’s pursuit of delivering state of the art tools to our Consumer Product and Innovation (CP&I) community. The candidate needs to be highly collaborative with peers, productive in a fast-paced development environment and have depth of native cloud software engineering experience.
WHAT YOU’LL WORK ON
You will be part of and leading a team of engineers building out tooling for our Consumer Product & Innovation team members. We are investing in building modular, configurable and “API-First” capabilities which will be consumed by modern web applications build with the most recent SPA frameworks. You are expected to help coordinate with other teams and provide guidance and coaching for more junior team members.
Demonstrated ability to work effectively in highly collaborative environments
Bachelor’s degree in computer science, Engineering, Information Systems, or a related field; equivalent professional experience considered in lieu of a degree
Over 3 years of industry experience in data engineering
Proficient in SQL, Spark, and Python
Practical experience with Databricks, AWS, and Snowflake platforms
Solid understanding of data modeling, ETL processes, and data streaming technologies
Familiarity with AWS services including Lambda, Step Functions, DynamoDB, Elasticsearch, and S3
Experience programming in Java, with knowledge of JavaScript/TypeScript and Node.js
Skilled in developing data visualization dashboards using frameworks such as React, Vue.js, or Angular
Experienced in API development leveraging REST and GraphQL APIs for data services
Strong grasp of microservices architecture and architectural design patterns
Comprehensive understanding of CI/CD practices and DevOps responsibilities related to deploying and maintaining production software
Knowledgeable in implementing and integrating artificial intelligence, machine learning, and related data solutions
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.
