Hybrid Data Engineer: Build Scalable Data Pipelines
Capgemini
Capgemini México busca un Data Engineer para diseñar, construir y optimizar pipelines de datos confiables y escalables, asegurando la disponibilidad y calidad de datos para análisis, reporting y modelos avanzados. Trabajarás con PySpark, SQL y herramientas de orquestación en un entorno híbrido.
El candidato ideal debe dominar Python y SQL, experiencia en ETL/ELT, Databricks y Azure Data Factory, modelado de datos en Data Warehouse o Data Lake y gestión de bases de datos como SQL Server,
#J-18808-LjbffrVacante publicada el 20 horas atrás
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