Data Engineer

Michelin•Greenville, SC

5d•Onsite

About The Position

Michelin has an immediate opening for an on-site Data Engineer who will help us build, develop, maintain and support data and analytics systems. Michelin’s purpose is to support everyone’s right to move freely to find their better way forward. If respect for people, teamwork and trust are some values you live by you should consider joining us, the Worldwide leader in Tires!

Requirements

Minimum of 1 to 3 years of Computer Science, Management of Information Systems, Application Development, Data Analytics or related technical experience. For Entry Level, this can include internship, Co-op, apprentices, military service, or similar programs.
BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or equivalent experience is preferred.
Ability to set priorities, work independently, and consistently deliver results with minimum supervision.
Proven success working across teams, with the ability to clearly communicate in diverse, multi-functional environments.
Skilled at analyzing data, identifying patterns, and ensuring a high level of accuracy and attention to detail in all work.

Nice To Haves

Proficiency in the use of OSI or AVEVA PI systems is a plus.

Responsibilities

Develop, build, maintain, and support scalable data systems and pipelines that enable reliable analytics and reporting.
Collect data from different sources and automate its ingestion, cleaning, structuring, and enrichment for business use.
Analyze needs expressed by key business resources and document solutions that align with the Michelin Group's requirements in terms of security, reliability, and confidentiality.
Ensures data quality, performance, security, and compliance with data governance guidelines.
Collaborate with data analysts, business analysts, and data scientists to understand requirements, and deliver effective design solutions.
Deploy and optimize data pipelines to ensure efficient, secure, and consistent data flow aligned with architectural standards.
Diagnose and resolve data issues and provide technical support to data teams to ensure smooth operations.