Es- Machine Learning con Spark

hace 2 semanas


Barcelona, España Devoteam Spain A tiempo completo

Descripción de la empresa
**Devoteam es una consultora europea líder enfocada en estrategia digital, plataformas tecnológicas, ciberseguridad y transformación empresarial a través de la tecnología.** Centrada en 6 áreas de especialización, abordamos los desafíos estratégicos de nuestros clientes: Digital Business & Products, Data-driven Intelligence, Distributed Cloud, Business Automation, Ciberseguridad y la Sostenibilidad conseguida por la Digitalización. La Tecnología está en nuestro ADN y creemos en ella como una palanca capaz de impulsar el cambio para mejorar, manteniendo un equilibrio que nos permite ofrecer a nuestros clientes herramientas tecnológicas de primer nível pero siempre con la cercanía y profesionalidad de un equipo que actúa como guía durante el camino. Nuestros **25 años de experiência** nos convierten en una consultora innovadora, consolidada y madura que permite el desarrollo de nuestras **10000 personas**, certificando continuamente a nuestros consultores en las últimas tecnologías y contando con expertos en: Cloud, BI, Data Analytics, Excelencia en Procesos de Negocio, Gestión de la Relación con clientes, Ciberseguridad, Marketing Digital, Machine Learning, Ingeniería y desarrollo del Software. Devoteam ha sido premiado como Partner del año 2021 de los 5 líderes de la nube**:AWS, Google Cloud, Microsoft, Salesforce y ServiceNow.** #CreativeTechForBetterChange

Descripción del empleo

Buscamos un perfil de Machine learning para que realice estas funciones:
En tu día a día
- Diseñarás, desarrollarás y mantendrás pipelines para la extracción, limpieza y

transformación de datos con Spark.
- Trabajarás con una gran variedad de datos (estructurados y no estructurados)

relacionados con el producto y todo su ciclo de vida, desde la fase inicial de diseño

hasta la venta en nuestros diferentes canales.
- Realizarás la puesta en producción de soluciones con algoritmos avanzados de

aprendizaje automático para mejorar nuestros procesos y decisiones comerciales

principales.
- Participarás en la definición de la arquitectura de las soluciones de analítica

avanzada desarrolladas por el squad y su posible integración con herramientas y

aplicaciones desarrolladas por otros equipos.
- Definirás e implementarás mecanismos para la orquestación y monitorización de

los procesos y aplicaciones desarrolladas.
- Participarás en la automatización de tests, CI/CD y despliegue automático de

nuestras aplicaciones. Ayudarás en la definición y mejora de los estándares de

calidad del código.
- Estarás conectado a los últimos desarrollos en Big Data y MLOps e invertirás

tiempo en traer nuevas tecnologías y mejores prácticas.

**Requisitos**:
¿QUÉ ESPERAMOS DE TI?
- Grado en Informática, Ingeniería u otros campos cuantitativos
- Al menos 3 años de experiência desarrollando en Python, Scala, u otro lenguaje

orientado a objetos.
- Experiência en el desarrollo de ELT escalable, procesos de integración de datos con

Spark, Spark Structured Streaming o cualquier otra tecnología de procesamiento

de datos.
- Experiência en la construcción y el mantenimiento de cargas de datos complejas

con un alto volumen y orquestando dependencias (por ejemplo, Airflow).
- Experiência llevando a cabo proyectos que involucren algoritmos de Machine

Learning, idealmente en un entorno cloud con computación distribuida. Se

valorará la experiência desarrollando modelos matemáticos y algoritmos

predictivos (optimización, modelos supervisados y no supervisados, clustering,

redes neuronales...).
- Persona comprometida, proactiva, que se preocupe por la calidad de sus

entregables, y una mentalidad hands-on.
- Se valora muy positivamente el interés en buenas prácticas de programación y

desarrollo de software: tests, automatizaciones, construyas pipelines en CI, etc.
- Se valora haber trabajado con servicios de AWS (por ejemplo, S3, Lambda,

DynamoDB, API Gateway, Glue, Athena, ECR/ECS), y Databricks es muy deseable.
- Capacidad para poseer la entrega de un proyecto, incluyendo la comunicación con

otros equipos de IT.


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