Keyrus
1001 - 5000 employees
Founded 1996
🤝 B2B
B2B • Data Analytics • Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
Ingeniero de Datos
Job not on LinkedIn
🕒 December 6, 2025
🗣️🇪🇸 Spanish Required
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Keyrus
1001 - 5000 employees
Founded 1996
🤝 B2B
B2B • Data Analytics • Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
📋 Description
• Diseñar, desarrollar y mantener pipelines ETL/ELT en AWS. • Implementar transformaciones y lógica de procesamiento en AWS Glue (PySpark). • Construir integraciones con APIs REST (envío por lote, consultas de estado, armado/parsing de JSON). • Crear y mantener tablas de control y auditoría en Redshift. • Orquestar flujos y procesos mediante AWS Step Functions y EventBridge. • Asegurar la estabilidad operacional: reintentos, idempotencia, trazabilidad, logging y manejo de errores.
🎯 Requirements
• Profesional en Ingeniería de Sistemas, Ingeniería Industrial, Administración de Empresas o afines. • Experiencia superior a 3 años en el manejo de herramientas de ingeniería y analítica de datos, como Alteryx, Dataiku, Azure Data Factory y otros • Experiencia fuerte con AWS Lambda, AWS Glue (PySpark), Step Functions y EventBridge. • Dominio de Python (armado de JSON, consumo de APIs REST, manejo de errores). • Conocimiento avanzado de Amazon Redshift: SQL, SPs, modelado, optimización. • Experiencia integrando APIs (POST/GET, Basic Auth, manejo de excepciones). • Implementación de procesos por lotes y con incrementalidad. • Buenas prácticas de logging, trazabilidad y control de estados.
🏖️ Benefits
• Salud, ocio y bienestar • Programa de desarrollo profesional
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