Senior Data Engineer IT Madrid Híbrido

4 weeks ago


Snowflake, United States Vermont Solutions S.L Full time

Estamos buscando un Ingeniero de Datos Senior para un apasionante proyecto de desarrollo de varios análisis de datos Este es un proyecto de larga duración y estamos emocionados por reforzar nuestro equipo con alguien de alto nivel. Contratación directa en cliente. Modalidad:

Híbrida, asistencia 1 día a la semana a oficinas en el centro de Madrid. (C/Velázquez)

Serás responsable de lo siguiente: Diseño: Analizar datos relevantes obtenidos interna y externamente (datos sin procesar) para generar conjuntos de datos de BI y análisis avanzados basados en los requisitos de tus interesados. Diseñar canalizaciones de datos para curar los datos obtenidos en el almacén de datos interno. Diseñar almacenes de datos para facilitar el consumo de conjuntos de datos fuera del almacén de datos interno por parte de los interesados internos de negocios e IT. Diseñar cambios en el modelo de datos que se alineen con los estándares del almacén de datos interno. Definir actividades de ejecución de migración para mover datos de soluciones de bases de datos existentes al almacén de datos interno. Requisitos:

Licenciatura o maestría en Ciencias de la Computación, Tecnología de la Información, Ingeniería o disciplina cuantitativa relacionada de una universidad de primer nivel. Fuertes habilidades de programación con conocimientos avanzados de

Java y/o Python. Más de 7 años de experiencia en ingeniería de datos o experiencia laboral relevante en un rol similar, preferiblemente en la industria financiera. Fuerte comprensión de los conceptos de

ETL , almacén de datos,

Power

BI

y análisis avanzados de datos. Conocimiento profundo de tecnologías habilitadas para la nube -

AWS

RDS y AWS Fargate, etc. Experiencia con bases de datos y almacenes de datos -

Snowflake, PostgreSQL, MS SQL. Experiencia en la construcción de modelos de datos, que incluye la experiencia conceptual, lógica y física y la experiencia práctica utilizando DataVault 2.0. Experiencia práctica con herramientas ETL como AWS Glue, etc. Fuertes habilidades de pensamiento crítico, analítico y resolución de problemas. Excelente comunicador con enfoque orientado al equipo. Deseable: Conocimiento práctico de los conceptos de big data en la organización de datos estructurados y no estructurados. Certificado en Especialidad de Análisis de Datos de AWS/ Especialidad en Aprendizaje Automático de AWS. Conocimiento sobre mercados privados. Únete a nuestro equipo y sé parte de este emocionante proyecto

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