Data Engineer: Build Scalable Pipelines & Insights

Levi Strauss; Pachuca; Presencial; MXN 540,000 - 901,000; Jornada completa

Descripción de la vacante

A global leader in apparel seeks a Data Engineer to join their Digital Technology organization in Pachuca, Mexico. The role involves designing and maintaining scalable data solutions, developing data pipelines, and collaborating with diverse teams. Ideal candidates must have a university degree, 3-6 years of relevant experience, and proficiency in cloud-native services. This full-time position offers the chance to make significant impacts within a transformative environment.

Formación

• 3 to 6 years’ experience developing data pipelines into production.
• Hands-on experience with cloud-native data services, ideally on Google Cloud Platform.
• Experience working with various relational SQL and NoSQL databases.

Responsabilidades

• Design and maintain scalable and reliable big data solutions.
• Collaborate with cross-functional teams to understand business data requirements.
• Establish automated processes for data analysis and model development.

Conocimientos

Data pipeline development

Cloud-native data services

SQL and NoSQL databases

Python

Data governance

Educación

University degree in engineering, computer science, or related field

Herramientas

Google Cloud Platform

Hadoop

Apache Airflow

Descripción del empleo

A global leader in apparel seeks a Data Engineer to join their Digital Technology organization in Pachuca, Mexico. The role involves designing and maintaining scalable data solutions, developing data pipelines, and collaborating with diverse teams. Ideal candidates must have a university degree, 3-6 years of relevant experience, and proficiency in cloud-native services. This full-time position offers the chance to make significant impacts within a transformative environment.