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 objetivos

Prestaciones de Ley

Esquema de trabajo;
Híbrido (2 días de HomeOffice 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 años

Exp. construyendo Data Pipelines:
5 años +

Exp. con Linux:
5 años +

Job Description:

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 businesses
Leads 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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