Cloud Data Lead

hace 2 semanas

Santorcaz, España Clarel A tiempo completo

Buscamos un Cloud Data Lead En Clarel, somos líderes en la distribución de productos de belleza, cuidado personal y del hogar.
Con cerca de 1.000 tiendas en todo el territorio español, estamos en constante crecimiento y evolución.
Como Cloud Data Lead , serás responsable de liderar, diseñar, desarrollar y gestionar los flujos de trabajo de extracción, transformación y carga (ETL) de datos en la nube, así como de administrar y optimizar los entornos de BigQuery de la compañía.
Trabajarás en estrecha colaboración con equipos de análisis de datos y Business Intelligence, asegurando la eficiencia, integridad y seguridad de los datos gestionados.
Serás clave en la implementación de soluciones escalables en Google Cloud Platform (GCP) para la gestión de grandes volúmenes de datos, optimizando los recursos y mejorando el rendimiento.
Responsabilidades: Administración de BigQuery y Cloud Infrastructure: Gestionar y optimizar el entorno de BigQuery , asegurando la disponibilidad, escalabilidad y rendimiento óptimo de las bases de datos.
Implementar y mantener las políticas de seguridad y acceso a los datos en BigQuery, garantizando el cumplimiento de las normativas.
Diseño y Desarrollo de ETL: Diseñar, desarrollar y gestionar pipelines ETL eficientes para la extracción, transformación y carga de grandes volúmenes de datos utilizando Google Dataflow y automatizar los procesos de ETL y gestionar su orquestación utilizando herramientas como Apache Airflow .
Optimización de Consultas y Rendimiento: Diseñar consultas SQL optimizadas en BigQuery , maximizando el rendimiento y minimizando el tiempo de ejecución.
Identificar y resolver cuellos de botella en el procesamiento de datos, ajustando y optimizando los pipelines de ETL.
Monitorización y Resolución de Incidencias: Implementar herramientas de monitorización como Grafana o Prometheus para asegurar el rendimiento óptimo de las integraciones y detectar posibles incidencias en BigQuery.
Colaboración con Equipos de Análisis y BI: Colaborar estrechamente con los equipos de análisis de datos y Business Intelligence para proporcionar conjuntos de datos fiables y optimizados.
Documentación y Mejora Continua: Documentar las arquitecturas de datos, pipelines ETL y configuraciones de BigQuery para garantizar una buena gobernanza de los datos.
Requisitos: Formación: Grado en Ingeniería Informática, Ciencias de la Computación, Matemáticas o un campo relacionado, o experiencia equivalente.
Experiencia: Mínimo 3 años de experiencia combinada en la administración de BigQuery y en el diseño e implementación de procesos ETL utilizando Google Cloud Platform .
Conocimientos Técnicos: Sólida experiencia en SQL , BigQuery , Google Cloud Platform (GCP) , Google Dataflow , y en herramientas de orquestación como Apache Airflow y ETL como Talend .
Habilidades de Programación: Conocimientos en lenguajes como Python , Java o similar, para desarrollar scripts y pipelines ETL.
Optimización de Consultas: Experiencia en optimización de consultas SQL y en la mejora del rendimiento en entornos de grandes volúmenes de datos.
Monitorización: Experiencia en la implementación de herramientas de monitorización como Grafana o Prometheus para gestionar y detectar problemas en tiempo real.
Automatización de Infraestructura: Familiaridad con herramientas como Terraform o Ansible para la administración de infraestructura como código (IaC).
Deseable: Conocimientos de Dataplex y experiencia con Cortex serán valorados positivamente.
Comunicación y Colaboración: Capacidad para trabajar en equipo, colaborar con múltiples stakeholders y comunicar conceptos técnicos a equipos no técnicos.
Te Ofrecemos: Trabajar en un entorno inmejorable de trabajo, dinámico y colaborativo.
Integrarte en una compañía con propósito y valores Disponer de la flexibilidad del teletrabajo, permitiéndote una mejor conciliación con tu vida personal.
Paquete integral de beneficios competitivo y oportunidades de desarrollo profesional asociados a tu puesto.
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