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Design and develop data solutions using Databricks while building and maintaining scalable data pipelines. Implement DataOps practices, define data governance standards, and collaborate with business teams to deliver analytical solutions.
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
¡Sumate a Capgemini!
Buscamos un/a Senior Data Engineer con fuerte experiencia en Databricks para incorporarse a proyectos globales de datos y analítica, colaborando con equipos distribuidos y participando en iniciativas de modernización de plataformas de datos.
Responsabilidades
Requisitos
Deseables
Beneficios
💻 Reintegro por gastos de virtualidad
🏥 Prepaga OSDE
🏋️ Beneficios en Megatlon y Fiter
📚 Descuento del 70% en CUI (inglés, francés y portugués)
📚 Cursos y Certificaciones en Udemy y Next
#LI-LB21
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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