Data Engineer

Job not on LinkedIn

🕒 June 30

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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IDS Comercial

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1982

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

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.

📋 Description

• 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.

🎯 Requirements

• Licenciatura en Física, Matemáticas o afín. • Inglés avanzado • Experiencia de al menos 3 años en: • Experiencia con Python para escribir canalizaciones de datos y capas de procesamiento de datos • Manejo avanzado de SQL, optimizadas para la transformación de datos y la implementación de reglas comerciales. (Consultas y Procedimientos Almacenados). • Experiencia actualizada en ingeniería de datos, desarrollo de canales de datos complejos y redacción de consultas complejas y altamente optimizadas en grandes conjuntos de datos. • Experiencia con tecnologías en la nube GCP - Indispensable, modelos ágiles, Airflow, Github y Big Data Hadoop, Hive, Presto, Spark, HBase.

🏖️ Benefits

• sueldo nominal + beneficios