Devsu
51 - 200 employees
🤝 B2B
🏢 Enterprise
☁️ SaaS
B2B • Enterprise • SaaS
Devsu is a technology services company that provides a range of strategic solutions to help clients scale their operations, enhance efficiency, and drive innovation. The company specializes in staff augmentation, dedicated teams, and custom development, leveraging elite tech talent to meet the specific needs of each project. Devsu offers services in quality assurance, cloud engineering, AI prototyping, and data analytics, among others, ensuring high-quality and scalable solutions. By acting as an integrated partner, Devsu helps businesses achieve faster development cycles and better project outcomes with timezone-aligned teams. With a focus on cutting-edge technology and streamlined processes, Devsu empowers businesses to transform their vision into reality.
Semi Senior/Senior Ingeniero de Datos – Sector Bancario
🕒 May 21
🗣️🇪🇸 Spanish Required
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Devsu
51 - 200 employees
🤝 B2B
🏢 Enterprise
☁️ SaaS
B2B • Enterprise • SaaS
Devsu is a technology services company that provides a range of strategic solutions to help clients scale their operations, enhance efficiency, and drive innovation. The company specializes in staff augmentation, dedicated teams, and custom development, leveraging elite tech talent to meet the specific needs of each project. Devsu offers services in quality assurance, cloud engineering, AI prototyping, and data analytics, among others, ensuring high-quality and scalable solutions. By acting as an integrated partner, Devsu helps businesses achieve faster development cycles and better project outcomes with timezone-aligned teams. With a focus on cutting-edge technology and streamlined processes, Devsu empowers businesses to transform their vision into reality.
📋 Description
• Diseñar y desarrollar soluciones de datos alineadas con la visión de Arquitectura de Datos • Crear y optimizar ETLs, ELTs y APIs para el manejo eficiente de datos • Implementar estrategias de testing para validar la calidad funcional y no funcional • Proponer mejoras continuas en procesos y productos de datos • Resolver incidencias técnicas y documentar soluciones conforme a estándares • Mentorizar y apoyar el onboarding de nuevos integrantes del equipo • Participar en el ciclo completo de desarrollo de soluciones de información: análisis, diseño, desarrollo, certificación, despliegue y mantenimiento • Trabajar en entornos OnPremise y tecnologías Big Data • Colaborar con equipos multidisciplinarios en un entorno ágil para implementar productos de software
🎯 Requirements
• Experiencia con bases de datos relacionales y NoSQL • Diseño de Datawarehouse, Datamarts, Datalakes y Lakehouse • Procesamiento distribuido con Hadoop y Spark • Arquitecturas batch/streaming • Desarrollo en Python, Scala o Java • Aplicación de principios de Clean Code • Construcción de pipelines con herramientas ETL: Azure Data Factory, AWS Glue y SSIS • Estrategias de DataOps/MLOps • Despliegue CI/CD • Certificaciones en AWS, Azure o Big Data deseables • Experiencia deseable en arquitecturas Data Mesh o Data Fabric • Disponibilidad para trabajar remotamente en LATAM
🏖️ Benefits
• Un contrato estable a largo plazo • Entrenamiento contínuo • Seguro de Salud Privado • Trabajarás con algunos de los ingenieros de software más talentosos de América Latina y los EEUU, haciendo un trabajo desafiante y software de clase mundial
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