Digital Transformation Solutions Engineer

hace 8 horas


Reynosa, Tamaulipas, México Corning Inc. A tiempo completo

About Corning Inc.

Corning Inc. is a leading technology company that invents life-changing products using materials science. Our expertise in research, development, and innovation enables us to solve complex challenges in various industries.

Our Businesses

We operate in multiple markets, including life sciences, mobile consumer electronics, optical communications, display, and automotive. Our products and solutions accelerate drug discovery, enhance device performance, and drive cleaner, safer, and smarter transportation.

Job Summary

We are seeking a Digital Transformation Solutions Engineer to support the development and deployment of digital transformation solutions based on AI, data engineering, and data science technologies. The successful candidate will work under general supervision, taking on moderate-sized projects or components of large projects, and contributing to the completion of milestones.

Key Responsibilities

  • Develop and deploy new fit-for-purpose digital solutions as a project team member.
  • Support the enhancement and success of existing digital solutions.
  • Accurately deliver project commitments on time.
  • Utilize strong communication skills to interact with project team members and plant customers in the testing and deployment of digital solutions.
  • Build and maintain effective partnerships within the IT digital team and with appropriate digital project team members.
  • Engage with plant functions and teams to educate and enable a digital mindset.

Requirements

  • Bachelor's or higher degree in computer science, engineering, or a similar scientific field.
  • 0-2 years of technical experience in a manufacturing environment.
  • 60-70% proficiency in English.
  • 0-2 years of experience with.NET, C#, VB.Net, ASP MVC Web Applications, and ASP.NET.
  • Knowledge of TSQL (stored procedures, views, jobs, SSIS) and experience with big data, data engineering, and maintaining data pipelines.
  • Technical familiarity with cloud data platforms like Databricks, S3, Parquet, and Delta Lake.
  • Understanding of the Data Lifecycle Management and ELT/ETL processes to collect, access, use, store, transfer, and delete data.


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