Test Lab Data Engineer II

Milwaukee Tool; Torreón; Presencial; MXN 300.000 - 600.000; Jornada completa

Descripción de la vacante

Milwaukee Tool is seeking a data engineer to design, develop, optimize, and support scalable data solutions that enable reliable access to information across the organization. You will ensure data quality, integration, and availability by collaborating with business stakeholders and technical teams.

You will establish data management practices to ensure consistency and governance across enterprise systems, mentor team members, and help drive data-driven decision-making and continuous improvement.

Formación

• Bachelor's degree in information systems, software engineering or computer science.
• Advanced English proficiency.

Responsabilidades

• Utilize planning tools, metrics, and dashboards to monitor project progress and performance.
• Promote continuous improvement of processes, standards, and data engineering best practices.
• Ensure alignment and effective communication between global and local teams.
• Provide technical support, guidance, and mentoring to team members.

Conocimientos

Data engineering

ETL/ELT

SQL

Data modeling

Data quality

Data governance

Data integration

Performance optimization

Software development

Educación

Bachelor's degree in Information Systems, Software Engineering, Computer Science

Herramientas

Databricks

Snowflake

Apache Spark

Azure Data Factory

Descripción del empleo

Education

Bachelor’s degree in Information Systems, Software Engineering, Computer Science

Position Summary

Responsible for designing, developing, optimizing, and supporting scalable data solutions that enable reliable, secure, and efficient access to information across the organization. This role ensures data quality, integration, and availability by collaborating with business stakeholders and technical teams to drive data-driven decision-making and continuous operational improvement.

Additionally, the position is responsible for establishing and maintaining data management practices that ensure the consistency, traceability, and quality of information across enterprise systems and global business functions.

Knowledge and Skills

• Data engineering, ETL/ELT processes, and data modeling.
• SQL, databases, and digital platforms.
• Data quality management and data governance principles.
• Data integration, troubleshooting, and performance optimization.
• Software development methodologies and best practices.
• Experience with Databricks, Snowflake, Apache Spark, and Azure Data Factory.

Key Responsibilities

• Utilize planning tools, metrics, and dashboards to monitor project progress and performance.
• Promote continuous improvement of processes, standards, and data engineering best practices.
• Ensure alignment and effective communication between global and local teams.
• Provide technical support, guidance, and mentoring to team members.

English Proficiency

• Advanced English proficiency.