
10,000+ employees
Founded 1987
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Stefanini LATAM is a technology solutions provider with over 30 years of experience in digital transformation. The company focuses on integrating innovative technological solutions for businesses to enhance their operational models and customer experiences through automation, artificial intelligence, cybersecurity, and data analytics. Stefanini collaborates with clients to identify opportunities for optimization and growth, ensuring that businesses can adapt to the evolving digital landscape effectively.
🔥 0 minutes ago
🗣️🇪🇸 Spanish Required
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10,000+ employees
Founded 1987
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Stefanini LATAM is a technology solutions provider with over 30 years of experience in digital transformation. The company focuses on integrating innovative technological solutions for businesses to enhance their operational models and customer experiences through automation, artificial intelligence, cybersecurity, and data analytics. Stefanini collaborates with clients to identify opportunities for optimization and growth, ensuring that businesses can adapt to the evolving digital landscape effectively.
• Diseñar, desarrollar y mantener pipelines de datos robustos y escalables. • Implementar procesos ETL/ELT para la integración y transformación de datos provenientes de múltiples fuentes. • Desarrollar soluciones utilizando Databricks y Apache Spark. • Construir y optimizar arquitecturas Lakehouse y Data Lake. • Garantizar la calidad, consistencia y disponibilidad de los datos. • Trabajar en conjunto con equipos de Data Analytics, BI, Data Science y negocio. • Participar en iniciativas de optimización de performance, monitoreo y gobernanza de datos. • Colaborar en el diseño de soluciones cloud alineadas con las mejores prácticas de ingeniería de datos. • Documentar desarrollos, procesos y soluciones implementadas.
• Más de 4 años de experiencia como Data Engineer. • Experiencia sólida trabajando con Databricks en ambientes productivos. • Dominio de Python. • Experiencia avanzada en SQL. • Conocimientos sólidos de Apache Spark / PySpark. • Experiencia desarrollando procesos ETL/ELT. • Experiencia trabajando con plataformas cloud (AWS, Azure o GCP). • Manejo de Git y metodologías de desarrollo colaborativo. • Inglés intermedio-avanzado.
• Conciliación de la vida laboral y personal • Oportunidades de desarrollo profesional
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