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Data Engineer

Roles & Responsibilities

  • 5+ years of experience as a Data Engineer
  • Proficiency with Azure Databricks, Python, Scala, and PySpark
  • Design and implementation of Azure Data Factory pipelines
  • Experience managing Azure Data Lake Storage (ADLS) and optimizing data models and ETL pipelines

Requirements:

  • Design and build ETL data pipelines using Python, Scala, and PySpark
  • Implement and maintain pipelines from core banking systems and external sources
  • Improve data quality, monitoring, and alerting
  • Manage and administer Azure Data Factory and Azure Data Lake Storage (ADLS)

Job description

Experiencia requerida: 5+ años
Modalidad: 90% remoto
Idioma: Inglés C1
Salario: 57k

✅ Responsabilidades principales

  • Diseño y construcción de ETL Data Pipelines usando Python, Scala y PySpark.

  • Implementación y mantenimiento de pipelines desde sistemas core banking y fuentes externas.

  • Mejoras de calidad de datos, monitorización y alertas.

  • Garantizar la seguridad y cumplimiento en el manejo de datos.

  • Colaboración con equipos de innovación para operacionalizar modelos y reglas.

  • Gestión y administración de Azure Data Factory y Azure Data Lake Storage (ADLS).


💻 Requisitos técnicos imprescindibles

  • Experiencia mínima de 5 años como Data Engineer.

  • Azure Databricks, Python, Scala, PySpark.

  • Diseño e implementación en Azure Data Factory.

  • Optimización de modelos de datos y pipelines ETL.

  • Gestión de Azure Data Lake Storage (ADLS).

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