
201 - 500 employees
Founded 2004
🤝 B2B
☁️ SaaS
📚 Education
B2B • SaaS • Education
Xideral is an expert company with over 20 years of experience in software management and talent development. They offer flexible and customized IT solutions, including services such as staff augmentation, software development, headhunting, and training. Xideral's mission is to close the talent gap by providing accessible training programs and leveraging their extensive network in the technology sector.
🕒 May 21
🗣️🇪🇸 Spanish Required
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201 - 500 employees
Founded 2004
🤝 B2B
☁️ SaaS
📚 Education
B2B • SaaS • Education
Xideral is an expert company with over 20 years of experience in software management and talent development. They offer flexible and customized IT solutions, including services such as staff augmentation, software development, headhunting, and training. Xideral's mission is to close the talent gap by providing accessible training programs and leveraging their extensive network in the technology sector.
• Diseñar, desarrollar y mantener procesos ETL/ELT para integración y transformación de datos. • Construir pipelines utilizando Data Stream, Dataform y BigQuery. • Desarrollar automatizaciones y scripting en Python utilizando Pandas. • Integrar APIs internas y externas para procesamiento de información. • Optimizar consultas SQL y estructuras de bases de datos relacionales. • Administrar y consultar bases de datos PostgreSQL y MySQL. • Garantizar calidad, integridad y disponibilidad de la información. • Monitorear el desempeño y eficiencia de pipelines de datos. • Documentar procesos técnicos y arquitectura de datos. • Colaborar con equipos multidisciplinarios en iniciativas analíticas y operativas.
• Más de 5 años de experiencia como Data Engineer. • Experiencia sólida en procesos ETL/ELT. • Dominio de Data Stream, Dataform y BigQuery. • Programación en Python orientada a procesamiento de datos. • Experiencia con Pandas. • Integración y consumo de APIs. • SQL avanzado. • Experiencia con PostgreSQL y MySQL. • Manejo de grandes volúmenes de información. • Conocimiento de buenas prácticas de ingeniería de datos. • Inglés Intermedio.
• Modalidad remota en México
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