
11 - 50 employees
🤝 B2B
🎯 Recruiter
B2B • Recruitment • Technology
Van Hyde International is a company that specializes in connecting tech professionals from Latin America with remote job opportunities in North America and Europe. Since 2018, they have offered tailored services which include interview preparation, salary negotiation guidance, and ongoing support from industry experts. Their goal is to assist software developers and other tech specialists in securing remote, hybrid, or relocation positions that fit their needs.
🕒 July 28, 2025
🗣️🇪🇸 Spanish Required
Airflow
Apache
AWS
Azure
Cassandra
Cloud
Google Cloud Platform
IoT
MongoDB
MySQL
NoSQL
Numpy
Pandas
Postgres
Python
Scala
Spark
SQL
Tableau
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11 - 50 employees
🤝 B2B
🎯 Recruiter
B2B • Recruitment • Technology
Van Hyde International is a company that specializes in connecting tech professionals from Latin America with remote job opportunities in North America and Europe. Since 2018, they have offered tailored services which include interview preparation, salary negotiation guidance, and ongoing support from industry experts. Their goal is to assist software developers and other tech specialists in securing remote, hybrid, or relocation positions that fit their needs.
• Estamos en búsqueda de un/a Data Engineer, un rol clave para estructurar, procesar y analizar datos estratégicos, con el objetivo de impulsar la toma de decisiones basada en datos. • Esta posición combina habilidades en ingeniería de datos, análisis y ciencia de datos, y tiene la posibilidad de evolucionar hacia el desarrollo de soluciones avanzadas en inteligencia artificial y machine learning.
• Experiencia en diseño y desarrollo de pipelines con herramientas como Apache Airflow, dbt, Spark, u otras similares. • Conocimiento en bases de datos SQL (PostgreSQL, MySQL) y NoSQL (MongoDB, Cassandra, etc.). • Experiencia integrando datos desde múltiples fuentes (APIs, sensores IoT, logs, etc.). • Dominio de herramientas de visualización como Power BI, Looker o Tableau. • Programación en Python y/o Scala, con uso de librerías como Pandas, NumPy, etc. • Conocimientos básicos en machine learning y modelos predictivos (deseable). • Experiencia con entornos cloud (AWS, GCP o Azure).
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