Data Engineer
Full-time
Join ready
Data Engineer con experiencia en el desarrollo de soluciones de datos en entornos Cloud, principalmente sobre Azure . Con conocimientos sólidos en Databricks , Python , PySpark y Scala , enfocado en la construcción, optimización y mantenimiento de procesos ETL y pipelines de datos. Dominio de bases de datos relacionales y consultas avanzadas utilizando SQL, PL/SQL y T-SQL .
Experiencia trabajando con Spark SQL , desarrollo de procesos de ingeniería de datos en la nube, manejo de repositorios mediante GitHub y prácticas de integración y despliegue continuo ( CI/CD ). Se valoran conocimientos adicionales en herramientas BI/ETL , así como experiencia en plataformas cloud como AWS y/o GCP .
Responsabilidades
Diseñar, desarrollar y mantener pipelines de datos escalables utilizando Databricks, PySpark, Python y Scala .
Implementar procesos de extracción, transformación y carga ( ETL/ELT ) para integrar datos provenientes de múltiples fuentes.
Desarrollar y optimizar consultas, procedimientos almacenados y modelos de datos utilizando SQL, PL/SQL y T-SQL .
Gestionar y procesar grandes volúmenes de información en entornos Cloud , principalmente sobre Microsoft Azure .
Crear y mantener notebooks, jobs y workflows en Databricks para el procesamiento eficiente de datos.
Garantizar la calidad, integridad y disponibilidad de los datos mediante controles y validaciones automatizadas.
Colaborar con equipos de analítica, BI y negocio para comprender requerimientos y convertirlos en soluciones de datos.
Implementar buenas prácticas de desarrollo, control de versiones y automatización utilizando GitHub y herramientas de CI/CD .
Experiencia en Databricks (mínimo 1 año).
Experiencia en GitHub y CI/CD (mínimo 1 año).
Manejo de Python, PySpark, Scala y Spark SQL .
Dominio de SQL, PL/SQL y T-SQL .
Experiencia desarrollando procesos de datos en Azure Cloud .
Disponibilidad para proyecto de al menos 6 meses .
Ubicación: Latinoamérica .
Inglés: No requerido .
Vacancy posted 19 days ago
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