12 ago
|
Corning
|
Monterrey
Are you ready to build data solutions that improve manufacturing performance and enable the next generation of AI and machine learning? Join Corningâs Optical Communications team and help transform complex manufacturing and operational data into reliable, scalable, and trusted data products that support faster decisions, greater production visibility, and business innovation.
What is your role?
As a Data Engineer, you will build, maintain, and support data pipelines and cloudâbased data solutions for Corningâs manufacturing and operational environments. You will collaborate with manufacturing teams, analysts, data scientists, and technology partners to deliver clean and reliable data for reporting, analytics, operational decisionâmaking, and AI/ML applications. This position is adecuado for a handsâon Data Engineer who has strong Python and SQL fundamentals and is interested in growing within modern data platforms, manufacturing data, and AIâenabled solutions.
Responsibilities
- Build, test, and support reliable ETL/ELT pipelines that ingest, transform, and deliver manufacturing,
operational, and business data.
- Develop clean and productionâready datasets for reporting, analytics, manufacturing visibility, and AI/ML applications.
- Implement automated dataâquality checks, validation rules, monitoring, and troubleshooting processes to improve data reliability.
- Support cloud dataâplatform operations, pipeline performance, documentation, and continuous improvement initiatives.
- Partner with manufacturing, analytics, IT, and business stakeholders to understand data needs and deliver scalable solutions.
Qualifications
- Bachelorâs degree in Computer Science, Engineering, Statistics, Mathematics, or another related technical discipline.
- At least 1 year of experience in data engineering, data integration, ETL/ELT development, analytics engineering, or a related dataâfocused role.
- At least 2 years of programming experience using Python, with the ability to write cl
📌 Data Engineer (Monterrey)
🏢 Corning
📍 Monterrey