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Data Engineering

hace 2 meses


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.Buscamos un Ingeniero de Datos talentoso y motivado para unirse a nuestro equipo. Serás responsable de la gestión y análisis de grandes volúmenes de datos, así como en la integración de sistemas de información en el ámbito sanitario. Echa un vistazo a la oportunidad de unirte a nuestro equipo Sobre nosotros: Dedalus es el principal proveedor de software sanitario y de diagnóstico de Europa y uno de los mayores del mundo, con un enfoque centrado en la continuidad de la atención sanitaria para ofrecer al sector sanitario soluciones completas y orientadas al paciente con vistas al futuro. Gracias a nuestra cartera de soluciones líderes de última generación, Dedalus cubre todo el espectro de la atención continuada, y en la actualidad damos soporte a más de 6.300 organizaciones sanitarias y 5.700 laboratorios y centros de diagnóstico. En la actualidad, Dedalus emplea a más de 6.600 personas altamente cualificadas; cuenta con el mayor equipo de I+D de software del sector en Europa, que representa el 38% de la plantilla total. Nuestra empresa fomenta una cultura en la que se anima a los empleados a aprender e innovar, y a permitir y mejorar la cooperación y los procesos clínicos, al tiempo que se marca una diferencia significativa para millones de personas en todo el mundo. Buscamos personas que quieran formar parte de nuestra empresa impulsada por un propósito y seguir nuestra visión de impulsar un ecosistema sanitario habilitado digitalmente para proporcionar una mejor atención en un planeta más saludable. Si te apasionan las tecnologías digitales y quieres mejorar la atención sanitaria en todo el mundo, es el mejor momento para unirte a Dedalus España. Sobre ti: Diseñar, desarrollar y mantener pipelines de datos eficientes y escalables. Integrar datos de múltiples fuentes, incluyendo sistemas hospitalarios y dispositivos médicos. Realizar tareas de ingesta, transformación y procesamiento de datos (ETL). Analizar y visualizar datos para apoyar la toma de decisiones. Mapear fuentes de datos, documentar la arquitectura de datos, las interfaces de datos y el movimiento de datos para tener una visión precisa del panorama de datos más amplio. Contribuir a las actividades de gestión del ciclo de vida de los datos de un extremo a otro, incluida la supervisión de los canales y la calidad e integridad de los datos. Participar en la definición de la arquitectura de datos y en la selección de tecnologías. Título en Ingeniería Informática, Ciencias de la Computación o campo relacionado. Conocimiento avanzado de SQL y experiencia con bases de datos relacionales y no relacionales. Familiaridad con lenguajes de programación como Python o Java. Conocimientos de infraestructura de Big Data, Spark y Bases de datos no relacionales. Experiencia en herramientas y técnicas de aprendizaje automático, minería de datos y análisis predictivo. Comprensión sólida de la ética y las regulaciones relacionadas con la privacidad y seguridad de los datos