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Urgent! Ssr Data Engineer (Only Hispanic Latam) Job Opening In USA, USA – Now Hiring Workana

Ssr Data Engineer (Only Hispanic Latam)



Job description

En Workana estamos buscando un/a Data Engineer con perfil Semi-Senior para sumarse a equipo de uno de nuestros clientes:Empresa mexicana dedicada a mejorar la salud y calidad de vida mediante productos farmacéuticos y de cuidado personal.

Acerca del cliente y el rol:

Nos enfocamos en diseñar, construir y mantener la infraestructura de datos para que la organización acceda, procese y analice información de manera eficiente.

Esto incluye crear pipelines robustos, automatizar integraciones y garantizar datos en tiempo real, colaborando con áreas clave como Ciencia de Datos y Negocio.

El rol busca optimizar la infraestructura en la nube (Snowflake, AWS), implementar procesos automatizados de ingesta y asegurar datos consistentes para modelos y tableros analíticos.

Responsabilidades principales:

  • Diseño y arquitectura de datos: Diseñar y documentar arquitecturas escalables que respondan a las necesidades actuales y futuras del negocio.
  • Desarrollo e implementación de pipelines: Construir, desplegar y mantener pipelines automatizados con Airflow y AppFlow.

    Implementar procesos ETL/ELT hacia Snowflake desde diversas fuentes.
  • Integración y calidad de dato: Desarrollar conectores y APIs para ingesta de datos internos y externos.

    Definir y aplicar controles de validación, calidad y monitoreo continuo.
  • Automatización y DevOps: Programar scripts de automatización con Python.

    Implementar CI/CD con GitHub para versionado y despliegue.
  • Colaboración y soporte: Trabajar con equipos de Ciencia de Datos, IT y negocio para entender necesidades de datos.

    Brindar soporte técnico y asesoría en mejores prácticas de ingeniería de datos.

Requisitos Obligatorios:

  • Mínimo 3 años de experiencia prática en ingeniería de datos o afines.
  • Dominio de Python y SQL avanzado para desarrollo de scripts y consultas complejas
  • Experiencia en Snowflake para modelado de datos, consultas optimizadas y desarrollo de procedimientos.
  • Uso avanzado de Apache Airflow
  • Manejo de Amazon AppFlow para la integración de datos automatizada.
  • Conocimiento práctico de AWS, incluyendo servicios como: EC2, S3, Lambda, RDS, IAM.
  • Dominio de Git/GitHub para versionado, colaboración y despliegue con CI/CD.
  • Formación en en Ingeniería de Sistemas, Computación, Ingeniería de Software, Matemáticas, Física o afines.
  • Experiencia en proyectos de infraestructura de datos con enfoque en calidad, escalabilidad y eficiencia.
  • Alta capacidad de resolución de problemas y mentalidad de mejora continua.
  • Orientación a resultados, con foco en optimización y automatización.
  • Autonomía, proactividad y capacidad para integrarse a equipos multidisciplinarios.

Requisitos Deseables (no excluyentes pero valorizados):

  • Experiencia con Docker para contenedores.
  • Conocimientos en Apache Spark para procesamiento distribuido de datos.
  • Familiaridad con APIs (REST/GraphQL) para integración de servicios.

Condiciones contractuales:

  • Modalidad: 100% remoto.
  • Jornada: Full-time.
  • Tipo de contrato: Contractor vía Workana.
  • Duración: 12 meses, con posibilidad de renovación basado en buen desempeño.
  • Compensación: hasta USD 2.100 mensuales.

Proceso de selección:

  1. Breve Video Entrevista asincrónica en Hireflix.
  2. Breve Call con Matcher de Workana.
  3. Entrevista Técnica Cultural con líder del equipo de Datos del cliente.
  4. Entrevista técnica con el equipo del cliente.

Si te interesa esta posición y crees que eres el indicado/a aguardamos tu aplicación.

En caso de quedar seleccionado/a para continuar, alguien del equipo de Talent de Workana se pondrá en contacto contigo!


Required Skill Profession

Computer Occupations



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