Technosylva logo
Technosylva

Critical wildfire solutions supporting critical decisions

Senior Data QA Engineer

QA EngineerQA EngineerFull TimeRemoteSeniorTeam 51-200Since 1997H1B No SponsorCompany SiteLinkedIn

Location

Mexico

Posted

87 days ago

Salary

0

Seniority

Senior

Bachelor Degree1 yr expSpanishEnglishAirflowAzureDockerPython

Job Description

Senior Data QA Engineer

Technosylva

• Integrarse en el equipo de Data QA y adaptarse a los diferentes flujos de trabajo. • Diseñar, desarrollar y mantener procesos automatizados de validación de datos. • Asegurar la integración de los procesos de validación en flujos de CI/CD en GitLab. • Orquestar workflows que procesen grandes volúmenes de datos, garantizando su fiabilidad y trazabilidad. • Colaborar con equipos de Science, Data Engineering y Producto para incorporar estándares de calidad en el ciclo de vida del dato. • Documentar procesos, validaciones y criterios de control. • Diseñar e implementar mecanismos de monitorización y observabilidad de los procesos de validación. • Definir y mantener estándares de logging estructurado, asegurando trazabilidad y capacidad de auditoría y garantizar la correcta gestión y análisis de los mismos.

Job Requirements

  • Sólida base en R y/o Python como lenguajes principales para procesamiento y validación de datos.
  • Experiencia consolidada en ingeniería de datos y automatización de procesos, incluyendo la capacidad autónoma del diseño, ejecución y mantenimiento de pipelines reproducibles, mantenibles y escalables.
  • Experiencia integrando pipelines en entornos de orquestación (Airflow u similares) y en flujos de CI/CD (GitLab CI).
  • Experiencia trabajando en entornos containerizados (Docker), incluyendo la construcción y mantenimiento de imágenes para pipelines de datos.
  • Conocimiento práctico de principios DataOps / DevOps, incluyendo integración continua, versionado y testing automatizado.
  • Experiencia en análisis y gestión de logs en entornos productivos.
  • Experiencia trabajando con grandes volúmenes de datos y formatos como Parquet y JSON.
  • Mentalidad orientada a calidad, trazabilidad y control de riesgos.
  • Fluidez en español y nivel profesional de inglés para documentación y comunicación cross-team.
  • Se valorará experiencia con datos geoespaciales y sus bibliotecas o formatos específicos.
  • Se valorará experiencia con el ecosistema de Azure.

Benefits

  • Salario anual competitivo.
  • Seguro médico y plan de retribución flexible para que puedas adaptar parte de tu compensación a tus necesidades.
  • Bono anual basado en el desempeño individual y el rendimiento de la empresa.
  • Horario flexible.
  • Opciones de trabajo remoto.

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