Google Cloud PlatformJavaOracleBigQueryData EngineeringSoftware EngineeringdbtLooker StudioETL/ELTCI/CDDockerTerraformSalesforcePL/SQLEJBData Governance
Job Description
Responsabilidades principales
Liderar los equipos de desarrollo de software y de datos, definiendo estándares de código, realizando revisiones de código (code reviews).
Diseñar estrategias de integración eficientes y escalables entre sistemas legacy y la nube.
Diseñar, construir y optimizar pipelines ETL/ELT utilizando Google Cloud Data Fusion y dbt (data build tool).
Estructurar y gestionar el Data Warehouse en Google BigQuery, garantizando alto rendimiento en consultas, gobernanza de datos y optimización de costes.
Diseñar y mantener dashboards, modelos semánticos e informes analíticos en Looker Studio para la toma de decisiones del negocio.
Gestionar la optimización y evolución de aplicaciones backend desarrolladas en Java 8, JSPs y EJB (Enterprise JavaBeans).
Administrar la capa de datos relacional en Oracle (consultas complejas, optimización, procedimientos almacenados/PL-SQL).
Colaborar estrechamente con Product Owners y arquitectos corporativos para traducir requerimientos de negocio en soluciones técnicas.
Asegurar altos estándares de rendimiento, disponibilidad, seguridad y resiliencia en todos los entornos.
Deseable la posibilidad de Definir flujos de integración de datos con Salesforce (APIs REST/SOAP, Bulk API o conectores nativos).
Requisitos técnicos
Entorno Cloud & Datos (GCP):
Experiencia demostrable trabajando con Google BigQuery (diseño de esquemas, particionamiento, clustering y optimización de costes/SQL).
Dominio práctico de dbt (modelado, pruebas, documentación de linaje de datos).
Experiencia en orquestación e integración mediante Google Cloud Data Fusion o herramientas ETL/ELT visuales/de flujo.
Manejo avanzado de Looker Studio para la construcción de reportes ejecutivos e interactivos.
Sistemas Legacy
Experiencia en desarrollo y mantenimiento de aplicaciones con Java 8, JSPs y arquitectura de componentes EJB.
Experiencia sólida en bases de datos Oracle (modelado relacional, tuning de consultas, PL/SQL).
Conocimiento técnico de la plataforma Salesforce e integración de su modelo de datos con sistemas externos.
Integración continua
Conocimiento de integración continua y despliegue continuo (CI/CD) con Jenkins, GitLab CI o GitHub Actions.
Manejo de contenedores (Docker) y conceptos de infraestructura como código (Terraform).
Modalidad: híbrida (3 días Alcobendas + 2 telemática)
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Frequently Asked Questions
Everything you need to know about finding your next role
How does Global Work AI apply to jobs without spamming?
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Do I need a “perfect” resume to use Global Work AI?
No. You don’t need a perfect resume to get started. Global Work AI uses your existing resume to build a Candidate Profile, then adapts your resume for each role-highlighting what matters most.
What will my resume and cover letter look like before they’re submitted?
You stay fully in control. Before anything is submitted, you can review how your resume and cover letter are tailored for the role-clear, focused, and aligned with the job description.
Will recruiters be able to tell that I used AI to apply?
No. Applications are designed to look natural and intentional. Because each one is role-specific and personalized, they don’t resemble the generic or automated submissions that recruiters are accustomed to filtering out.
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