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hace 4 semanas

Guadalajara, México The Brick Soluciones A tiempo completo

**Acerca del puesto Azure Data Engineer (Inglés Avanzado)**:Buscamos **Azure Data Engineer **para trabajar en modalidad Híbrida en una importante empresa transnacional de tecnología ubicada en la ciudad de Guadalajara Jalisco.**OFRECEMOS****Sueldo: Abierto**Esquema de bonos por objetivosPrestaciones de LeyEsquema de trabajo; Híbrido (2 días de Home Office a la semana)Zona de trabajo: Guadalajara Zona Country Club, Av. Américas**Requisitos**:****Inglés Avanzado (Las entrevistas se realizarán en inglés)Vivir en Guadalajara o estar dispuesto a reubicarse**EXPERIENCIA REQUERIDA******Exp. como Data Engineer con Azure: 5 años +Exp. diseñando y manteniendo DataWarehouse: 5 años +Exp. diseñando y manteniendo Data Lakes: 5 años +Exp. con tecnologías Spark, Databricks: 5 años +Exp. con tecnologías Redshift o Snowflake: 5 añosExp. construyendo Data Pipelines: 5 años +Exp. con Linux: 5 años +Cleans, prepares, and optimizes data for further analysis and modelling. Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to Data Pipeline (ie ELT) principles and business goals.**Roles and Responsibilities**:Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to ELT principles and business goals.Solves complex data problems to deliver insights that helps business achieve its goals.Creates data products for engineers, analysts, and data scientist team members to accelerate their productivity.Engineer effective features for modelling in close collaboration with data scientists and businessesLeads the evaluation, implementation and deployment of emerging tools and process for analytics data engineering to improve productivity and quality.Partners with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.Fosters a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.Advises, consults, mentors, and coach other data and analytic professionals on data standards and practices.Develops and delivers communication and education plans on analytic data engineering capabilities, standards, and processes.Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively.

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