
1001 - 5000 employees
Founded 1982
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
Artificial Intelligence • Enterprise • B2B
IDS Comercial is a Mexico-based IT services and technology consulting firm that provides AI-powered digital transformation, data & analytics, application development and maintenance, hyperautomation and low-code, cloud infrastructure, and enterprise application implementation and strategy. With 43+ years of experience and about 2,500 specialists, it serves banks, insurers, retail and logistics, consumer goods, pension funds, brokerages, manufacturing, energy, and telecommunications across Mexico and Latin America, focusing on B2B enterprise solutions that improve efficiency, security and innovation.
🔥 0 minutes ago
🗣️🇪🇸 Spanish Required
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1001 - 5000 employees
Founded 1982
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
Artificial Intelligence • Enterprise • B2B
IDS Comercial is a Mexico-based IT services and technology consulting firm that provides AI-powered digital transformation, data & analytics, application development and maintenance, hyperautomation and low-code, cloud infrastructure, and enterprise application implementation and strategy. With 43+ years of experience and about 2,500 specialists, it serves banks, insurers, retail and logistics, consumer goods, pension funds, brokerages, manufacturing, energy, and telecommunications across Mexico and Latin America, focusing on B2B enterprise solutions that improve efficiency, security and innovation.
• Diseñar, desarrollar, implementar y ajustar sistemas y canalizaciones distribuidos a gran escala que procesen grandes volúmenes de datos; centrándose en la escalabilidad, la baja latencia y la tolerancia a fallos en cada sistema construido. • Demuestra experiencia en la redacción de consultas complejas y altamente optimizadas en grandes conjuntos de datos. • Experiencia laboral comprobada con tecnologías de Big Data Hadoop, Hive, Presto, Spark, HBase.
• Dominio de inglés intermedio avanzado. • Experiencia con Python para escribir canalizaciones de datos y capas de procesamiento de datos. • Amplia experiencia y manejo SQL, optimizadas para la transformación de datos y la implementación de reglas comerciales. • Demuestra experiencia actualizada en ingeniería de datos y desarrollo de canales de datos complejos. • Experiencia con tecnologías en la nube GCP - Indispensable. • Experiencia en modelos ágiles. • Experiencia en Airflow y Github.
• Plan de carrera. • Esquema 100% nómina. • Prestaciones de ley y superiores. • Capacitaciones y certificaciones. • Convenios con diferentes empresas.
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