Data Engineer PySpark – AWS
hace 5 días
Funciones y responsabilidades
Desarrollo y mantenimiento de pipelines de datos en PySpark en entornos cloud.
Implementación de procesos ETL/ELT sobre AWS.
Procesamiento de grandes volúmenes de datos en arquitecturas Big Data.
Integración de datos desde diferentes fuentes (S3, bases de datos, servicios internos).
Uso De Servicios AWS Como
S3 para almacenamiento
Glue / EMR para procesamiento
Athena y/o Redshift para consulta y explotación
Desarrollo de scripts en Python para automatización y soporte de procesos.
Optimización del rendimiento de jobs Spark.
Validación, limpieza y control de calidad del dato.
Monitorización de procesos batch y resolución de incidencias.
Uso de SQL para análisis y verificación de datos.
Versionado de código con Git.
Documentación técnica de los desarrollos.
Trabajo colaborativo con equipos de Data, Analytics y Negocio.
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