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Data Engineers Senior (AWS)

Key Facts

Remote From: 
Category:  Data Engineer
Full time
Senior (5-10 years)
Spanish

Other Skills

  • Decision Making
  • Analytical Thinking
  • Complex Problem Solving
  • Detail Oriented
  • Teamwork

Roles & Responsibilities

  • 5+ years of experience as a Data Engineer in cloud environments
  • Strong experience with Spark, Scala, Python, and SQL
  • Proficiency with AWS services including S3, Glue, Athena, EMR, EC2, and Lambda
  • ETL design, data modeling, and architectural design with ability to make technical decisions

Requirements:

  • Design, development, testing, and deployment of data pipelines and data platforms on AWS
  • Build and maintain data architectures (Data Lake, Lakehouse, or Data Mesh) and drive architectural decisions
  • Collaborate with Data Engineering, Data Analytics, and DevOps teams to deliver end-to-end data solutions
  • Ensure governance, security, and data management best practices; own incidents and support for changes; lead projects from design to delivery

Job description


Responsabilidades

  • Diseño, desarrollo, testing y despliegue de pipelines y plataformas de datos en AWS.

  • Construcción y mantenimiento de arquitecturas tipo Data Lake, Lakehouse o Data Mesh.

  • Colaboración con equipos de Data Engineering, Data Analytics y DevOps.

  • Garantizar buenas prácticas de gobernanza, seguridad y gestión de datos.

  • Resolución de incidencias relacionadas con datos y soporte en cambios.

  • Responsabilidad completa de proyectos desde diseño hasta entrega final.

Requisitos técnicos

  • +5 años de experiencia como Data Engineer en entornos cloud.

  • Experiencia sólida en:

    • Spark / Scala

    • Python

    • SQL

  • Experiencia en servicios AWS:

    • S3, Glue, Athena, EMR, EC2, Lambda

  • Diseño de ETL y modelado de datos.

  • Capacidad de diseño arquitectónico y toma de decisiones técnicas.

Competencias clave

  • Pensamiento analítico y resolución de problemas complejos.

  • Capacidad para anticipar casos límite y problemas de escalabilidad.

  • Visión end-to-end de soluciones de datos.

  • Atención al detalle y orientación a calidad.

  • Capacidad para elegir herramientas adecuadas según el caso de uso (no solo ejecución técnica).

Requisitos deseables

  • Experiencia con herramientas CI/CD (GitHub Actions).

  • Apache Iceberg u otros formatos de tabla modernos.

  • Herramientas de calidad de datos (Great Expectations, Deequ).

  • Conocimientos de Bash y HCL.


Condiciones

  • Idioma: Inglés C1

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