TTI, Inc.

Test Lab Data Engineer II

TTI, Inc. · Torreón, Coahuila, Mexico

Manufacturing · 501-1,000 employees

5 d ago
Mid (2-5 yrs) Full-time Mexico
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About the role

The role involves designing, developing, and optimizing scalable data solutions to ensure reliable and secure information access across the organization. It also requires establishing data management practices to maintain consistency, traceability, and quality across enterprise systems.

What they look for

Data engineering ETL/ELT processes Data modeling SQL Databases Digital platforms Data quality management Data governance Data integration Troubleshooting Performance optimization Software development Databricks Snowflake Apache Spark Azure Data Factory

Requirements

Candidates must hold a bachelor's degree in Information Systems, Software Engineering, or Computer Science. Proficiency in data engineering tools like Databricks, Snowflake, and Azure Data Factory, along with advanced English skills, is required.

Full description

Job Description:

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.