Global Data Hub Risk and Finance
hace 4 semanas
**Excited to grow your career?**
BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.
**Learn more about the area**:
Global Data Hub es **un equipo de ingeniería a cargo de la gestión y la operativización de la infraestructura informacional.**
Global Data Hub tiene que asegurar que se cubre todo el **ciclo de desarrollo**del software, garantizando la continuidad, la disponibilidad y la calidad de cada solución puesta en producción.
A nível organizativo, Data Hub se ha constituido en un **centro de servicios**compartido para las áreas Globales y Locales
Todo ello **, asegurando**
- El gobierno, time-to-market y la funcionalidad a lo largo de la vida del dato poniéndolo a disposición del usuario en una plataforma común evitando las duplicidades en datos y el re-trabajo entre las distintas áreas
- La consistencia en la infraestructura y el consumo de datos entre Global y las áreas de negocio, estableciendo estándares comunes de trabajo
El rol, clave para el cumplimiento de la misión del Data Hub, supervisa la ejecución de los procesos operativos, funcionales, tecnológicos, y desarrollo de aplicaciones. Lidera el proceso que garantiza, con visión transversal, la ejecución y desarrollo de los procesos clave en el Área, supervisando las tareas del equipo
**About the job**:
Formación y experiência
- Titulación superior: Ingeniería, Matemáticas, ADE o similar.
- Experiência de 3 años como ingeniero de datos, con un mínimo de 1 año en plataformas Big Data (Cloudera, Stratio, Hortonworks, ,..)
Conocimientos específicos:
- Conocimientos y aplicación de best practices y patrones de diseño en Plataformas homologables a Datio.
- Conocimiento del proceso de ingesta y del uso del dato vía explotación en Sandbox.
- Conocimientos en BI/DW, desarrollo, análisis y mantenimiento bajo herramientas ETL/ELT (requerido).
- Desarrollador y conocimientos en herramientas y plataformas Big Data: ecosistema Hadoop y módulos Spark principalmente, deseable plataforma Datio o Stratio
- Conocimientos en herramientas NoSQL: MongoDB, Cassandra, ElasticSearch...
- Herramientas de integración continua: Jenkins, Artifactory, SonarQube, Maven, Git/Bitbucket.
- Herramientas para análisis de datos como Jupyter, Microstrategy.
- Se valorará conocimiento del ámbito de Riesgos y/o Finanzas.
- Valorable conocimiento interno de la organización, de los procesos y de los requerimientos de datos de los mismos, siendo capaz de entender la necesidad desde el punto de vista del uso final de los datos.
Competencias:
- Responsabilidad, compromiso y compañerismo
- Adaptación a objetivos y formas de trabajar cambiantes
- Habilidades de liderazgo, comunicación y relaciones interpersonales.
- Capacidad de interlocución con países.
- Orientación a resultados
- Proactividad
- Trabajo en equipo
- Experiência en metodologías de trabajo ágiles como vehículo para la ejecución eficiente de proyectos
- Inglés, mínimo B2, valoramos C1
**Skills**:
Amazon Web Services (AWS), Big Data, CI/CD, Continuous Development, Control-M, Datio, DevOps, Ether, Functional Designs, Gherkin, IT - Data, Jenkins (Software), Maven, Python (Programming Language), Scala (Programming Language), Sonar, Spark, Structured Query Language (SQL), Teamwork, Technical Designs, Test Driven Design (TDD), Testing
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