Cloud Data Engineer II — ETL/ELT & Data Warehouse

Tyson Foods; United States; In loco; MXN 420.000 - 540.000; Tempo pieno

Descrizione del lavoro

Tyson Foods in Mexico seeks an IT Data Engineer II to design, develop, and support scalable data solutions within Tyson's cloud analytics ecosystem. You will apply data architecture principles to build pipelines, dimensional models, and reporting capabilities for timely business insights.

Responsibilities include implementing ELT/ETL processes, optimizing data warehouses using Star Schema and Kimball methods, creating data models and transformations, and delivering data visualizations.

Competenze

• Bachelor's degree or equivalent experience in a related field.
• 1+ years of relevant experience.
• Preferred IT certification.

Mansioni

• Design, develop, and optimize data pipelines using SQL and ETL frameworks.
• Build and maintain enterprise data warehouse solutions per Tyson standards.
• Collaborate with analytics teams to translate requirements into scalable data solutions.
• Develop data visualizations to communicate insights effectively.
• Optimize cloud resource usage and assist in cost management initiatives.
• Contribute to data architecture reviews and data modeling efforts.
• Assist with streaming, near real-time, and batch data integration where applicable.

Conoscenze

SQL development

Data warehousing concepts

Git/CI-CD basics

Data integration patterns

Formazione

Bachelor's Degree in Computer Science or related field

IT Certification (preferred)

Strumenti

Cloud platforms

Descrizione del lavoro

Tyson Foods in Mexico seeks an IT Data Engineer II to design, develop, and support scalable data solutions within Tyson's cloud analytics ecosystem. You will apply data architecture principles to build pipelines, dimensional models, and reporting capabilities for timely business insights.

Responsibilities include implementing ELT/ETL processes, optimizing data warehouses using Star Schema and Kimball methods, creating data models and transformations, and delivering data visualizations.