EX Squared LATAM
B2B • SaaS • Human Resources
EX Squared LATAM is a staffing solutions provider that specializes in connecting companies with highly skilled tech professionals from around the globe. Since 2001, they have developed a reputation for delivering vetted talent on time and within budget, operating primarily in the field of nearshore staffing. With over 550 certified experts, EX Squared LATAM focuses on meeting the high standards of their clients and is committed to providing excellent service and expertise in technology, engineering, and agile project management.
501 - 1000 employees
Founded 2000
🤝 B2B
☁️ SaaS
Ingeniero de Datos – Azure
Job not on LinkedIn
November 18
🗣️🇪🇸 Spanish Required
EX Squared LATAM
B2B • SaaS • Human Resources
EX Squared LATAM is a staffing solutions provider that specializes in connecting companies with highly skilled tech professionals from around the globe. Since 2001, they have developed a reputation for delivering vetted talent on time and within budget, operating primarily in the field of nearshore staffing. With over 550 certified experts, EX Squared LATAM focuses on meeting the high standards of their clients and is committed to providing excellent service and expertise in technology, engineering, and agile project management.
501 - 1000 employees
Founded 2000
🤝 B2B
☁️ SaaS
📋 Description
• Diseñar y mantener pipelines de datos en Azure Data Factory, integrando múltiples fuentes (bases relacionales, NoSQL, APIs, archivos) • Crear flujos de datos eficientes para ingesta, transformación y carga (ETL/ELT), aplicando buenas prácticas de automatización • Desarrollar notebooks y procesos en Azure Databricks usando PySpark, orientados a arquitecturas Medallón (Bronze/Silver/Gold) • Configurar y administrar conexiones seguras hacia Azure Data Lake (ABFSS, Unity Catalog, Key Vault) • Participar en la modelación de datos para consumo analítico (estrella, copo de nieve, Data Vault) • Colaborar con equipos técnicos y de negocio para traducir requerimientos en soluciones escalables • Monitorear el rendimiento de los flujos y optimizar la calidad, eficiencia y seguridad de los datos
🎯 Requirements
• Experiencia de 5+ años trabajando con Azure Data Factory o herramientas similares de integración de datos • Conocimientos en Azure Databricks y PySpark, con disposición para seguir profundizando en este entorno • Experiencia en modelado de datos y manejo de Data Lakes o arquitecturas Lakehouse • Buen dominio de SQL y familiaridad con Python para automatización o transformación de datos • Comprensión de conceptos de gobernanza, seguridad y despliegue (DevOps / CI/CD) en entornos cloud • Capacidad de resolver problemas de forma estructurada, documentar tu trabajo y aprender de forma autónoma.
🏖️ Benefits
• Acceso a plataformas de aprendizaje • Mentorías y certificaciones técnicas • Horarios flexibles • Cultura inclusiva • Entorno colaborativo • Proyectos internacionales con tecnologías de vanguardia
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