IT Analytics Engineer - BI & Data Lakehouse Lead

Valmont Industries; Apodaca; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Valmont Industries is seeking an IT Analytical Engineer to join the IT Data and Analytics team in Apodaca, NL, Mexico. You will capture data from diverse sources, model it, and transform it into simple information models for actionable insights.

You will develop technical BI solutions, support Valmont's analytics platform, gather requirements, and collaborate with engineers to build data models and semantic layers for end users. Strong SQL, DataBricks, and Azure experience are essential.

Formación

• Bachelor's degree with 3+ years of relevant experience or equivalent.
• Experience with DataBricks, Azure services and ADF required.
• Proficiency in SQL, data manipulation, analysis, and visualization.
• Some Python experience and ML concepts are a plus.
• Understanding of data warehousing, dimensional modeling, and ETL.

Responsabilidades

• Build and support self-service BI solutions for analysts and stakeholders.
• Model information marts and semantic layers for end users.
• Enable deployment of BI, visualization, and data science projects.
• Contribute to end-to-end data pipelines using DataBricks and Azure services.
• Define routines for best-practice analytics tool use and documentation.

Conocimientos

SQL

DataBricks

Azure services

ETL

Python basics

Data visualization

Analytical thinking

Communication

Educación

Bachelor's degree

Associate's degree + 5+ yrs

Herramientas

DataBricks

Azure Data Factory

Azure Synapse Analytics

Azure Data Lake Storage

Descripción del empleo

Valmont Industries is seeking an IT Analytical Engineer to join the IT Data and Analytics team in Apodaca, NL, Mexico. You will capture data from diverse sources, model it, and transform it into simple information models for actionable insights.

You will develop technical BI solutions, support Valmont's analytics platform, gather requirements, and collaborate with engineers to build data models and semantic layers for end users. Strong SQL, DataBricks, and Azure experience are essential.