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CRH Talento de IT

AWS Data Platform Engineer

Posted 23 days ago
115K - 120K per month
5-10 years experience
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AI Summary

Design, build, and optimize scalable and secure data platforms using AWS services like Glue, EMR, and Lake Formation. Develop efficient data pipelines, implement modern data architectures, and automate infrastructure using Terraform.

Ubicación: México, Colombia, Brasil o Argentina | 100% remoto
Inglés: C1 indispensable

Sueldo mensual bruto:

  • México: $120,000 MXN

  • Colombia: $22,500,000 COP

  • Argentina: hasta $4,900 USD

  • Brasil: hasta R$27,000 BRL

Descripción del puesto

Buscamos un Senior AWS Data Platform Engineer con sólida experiencia en Python e ingeniería de datos para diseñar, construir y optimizar plataformas de datos escalables, seguras y de alto rendimiento en AWS.

La persona será responsable de desarrollar y mantener pipelines de datos eficientes, implementar arquitecturas modernas de Data Lake y Data Fabric, garantizar la calidad y gobernanza de la información y automatizar la infraestructura cloud mediante buenas prácticas de ingeniería.

Responsabilidades

  • Diseñar y administrar plataformas de datos en AWS utilizando Glue, EMR, Lake Formation, EC2 y CloudWatch.

  • Desarrollar y optimizar pipelines de datos con Python, PySpark y SQL.

  • Implementar formatos de tablas abiertas como Apache Hudi o Apache Iceberg.

  • Automatizar infraestructura y despliegues mediante Terraform (IaC).

  • Implementar mecanismos de validación, limpieza, seguridad y monitoreo de datos.

  • Colaborar con equipos de ingeniería para entregar productos de datos confiables y escalables.

Requisitos indispensables

  • Experiencia práctica con servicios de datos de AWS, especialmente Glue, EMR y Lake Formation.

  • Dominio de Python, PySpark y SQL avanzado.

  • Experiencia hands-on con Apache Hudi o Apache Iceberg.

  • Experiencia con Terraform e infraestructura como código.

  • Conocimientos de seguridad, gobernanza, calidad y optimización de datos.

  • Inglés avanzado C1 y excelentes habilidades de comunicación.

Deseable: experiencia en servicios financieros o banca de inversión, procesamiento en tiempo real con Apache Flink o Kafka Streams y arquitecturas orientadas a eventos (event-driven).

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