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Open nowPosted 8 hours ago

Mid Data Engineer

Encora231 open roles

Where
Peru
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Your applicationOpen nowMid Data EngineerEncora · Peru
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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Encora postings stay open a median of 5 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted 8 hours ago

Encora median: 5 days open

The posting

Habilidades clave: Azure Data Factory, Python, SQL, ETL/ELT, Azure DevOps, Data Quality, Data Engineering, Azure Data Lake.

Experiencia: Mínimo 4 años de experiencia como Data Engineer en proyectos de integración, transformación y procesamiento de datos, preferentemente en el sector financiero.

Ubicación: Perú.

Modalidad: Híbrido (asistencia a oficina 2 a 3 veces por semana).

En Coforge estamos buscando Mid Data Engineer (#20799-7-6) con el siguiente perfil.

Responsabilidades principales

  • Diseñar, desarrollar y optimizar pipelines de datos utilizando Azure Data Factory.
  • Implementar procesos ETL/ELT para integración, transformación y procesamiento de información.
  • Implementar controles de calidad, validación y trazabilidad de datos.
  • Gestionar despliegues entre ambientes DEV, QA y PROD, incluyendo validaciones, versionamiento y rollback.
  • Implementar prácticas DevOps y CI/CD para automatización de procesos de despliegue.
  • Desarrollar automatizaciones y componentes basados en Inteligencia Artificial para optimizar procesos de ingeniería de datos.
  • Coordinar con áreas de negocio y stakeholders para el levantamiento y análisis de requerimientos.
  • Participar en iniciativas de mejora continua orientadas a calidad, eficiencia y gobierno de datos.
  • Liderar actividades técnicas relacionadas con integración y procesamiento de información.
  • Garantizar la integridad, disponibilidad y consistencia de los datos dentro de las soluciones implementadas.

Requisitos indispensables

  • Mínimo 4 años de experiencia como Data Engineer.
  • Experiencia en proyectos del sector financiero.
  • Experiencia trabajando con stakeholders de negocio y áreas regulatorias.
  • Experiencia liderando iniciativas técnicas relacionadas con ingeniería de datos.
  • Experiencia diseñando y desarrollando pipelines ETL/ELT.
  • Experiencia utilizando Azure Data Factory.
  • Conocimientos avanzados de Python.
  • Conocimientos avanzados de SQL.
  • Experiencia en calidad de datos, validaciones, conciliaciones y trazabilidad de información.
  • Experiencia en orquestación de procesos batch.
  • Experiencia trabajando con Azure DevOps.
  • Experiencia utilizando Git.
  • Experiencia implementando prácticas CI/CD.
  • Experiencia gestionando ambientes DEV, QA y PROD.
  • Experiencia realizando despliegues y pases a producción.
  • Experiencia trabajando bajo metodologías ágiles y/o tradicionales.
  • Conocimiento de herramientas de Inteligencia Artificial aplicadas a automatización y optimización de procesos.

Requisitos deseables

  • Experiencia con Azure Data Lake.
  • Experiencia con Databricks.
  • Experiencia con Azure Synapse Analytics.
  • Conocimiento de arquitecturas modernas de datos y Big Data.
  • Experiencia implementando soluciones analíticas en la nube.
  • Certificaciones relacionadas con Azure Data Engineering.

Competencias

  • Pensamiento analítico.
  • Resolución de problemas.
  • Comunicación efectiva.
  • Trabajo colaborativo.
  • Orientación a resultados.
  • Proactividad.
  • Adaptabilidad.
  • Aprendizaje continuo.

Publicado el: 06-10-2026.

En Coforge, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad.

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