
51 - 200 employees
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Redbee is a digital native company that provides engineering and design services for software products tailored to various organizational contexts. Emphasizing innovation and market-relevant practices, Redbee offers end-to-end software development, consulting, and technological capabilities to enhance business operations and competitive positioning. Their services include agile project delivery, scalability, and a deep knowledge approach to complex technological implementations. With a focus on adaptability, collaboration, transparency, and delivering impact and value, Redbee operates across the United States, Argentina, Chile, and Uruguay.
🔥 6 minutes ago
🗣️🇪🇸 Spanish Required
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51 - 200 employees
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Redbee is a digital native company that provides engineering and design services for software products tailored to various organizational contexts. Emphasizing innovation and market-relevant practices, Redbee offers end-to-end software development, consulting, and technological capabilities to enhance business operations and competitive positioning. Their services include agile project delivery, scalability, and a deep knowledge approach to complex technological implementations. With a focus on adaptability, collaboration, transparency, and delivering impact and value, Redbee operates across the United States, Argentina, Chile, and Uruguay.
• Extraer, limpiar, transformar y almacenar los datos requeridos para los casos de uso • Diseñar y gestionar pipelines de integración de datos • Desarrollar ETLs y herramientas de analítica avanzada de alta calidad • Monitorear la estabilidad y ejecutar controles de calidad del pipeline de datos • Optimizar costos, rendimiento y seguridad de la información
• Experiencia en ingeniería de datos y desarrollo de pipelines ETL/ELT • Conocimiento de prácticas de CI/CD aplicadas a analítica avanzada • Pensamiento analítico y capacidad de resolución de problemas • Sentido de ownership y orientación a la calidad
• Herramientas de inteligencia artificial para apoyar el proceso de selección • Trabajo en un proyecto de transformación digital
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