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Hybrid Camstar MES Modeler
Illumina · India - Bengaluru - Manyata, Índia · Hybrid
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Patrocinado por BlinkistPosition Title: MES Modeler
Position Summary:
Join the Global Camstar MES Modeler team and contribute to the advancement of Digital Transformation in the company's Manufacturing Operation. Collaborate with cross-functional team throughout the lifecycle of MES workflow, including modelling, testing, deployment, and sustainment.
Responsibilities:
- Analyse manufacturing processes and requirements to develop MES Model Requirement Specification.
- Model MES workflow according to the MES Model Requirement Specification.
- Conduct testing of MES workflow and lead user acceptance tests.
- Manage the deployment of MES workflow to the production environment.
- Drive MES continuous improvement to enhance ease of use, error-proofing, and integration with other enterprise systems (e.g., SAP, EAM, PLM, LMS, etc.).
- Collaborate with the Global MES Developer team on required system improvements.
- Provide support to end users as required to ensure manufacturing operation continuity.
- All listed tasks and responsibilities are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional tasks and responsibilities.
Requirements:
- Working experience in MES, with a preference for CAMSTAR MES.
- Candidates with more than 7 years of working experience will be considered for senior position.
- Previous exposure to a medical device manufacturing environment.
- Familiarity with ISO13485 and FDA CFR820.
- Project management experience.
- Strong problem-solving and data analysis skills.
- Team player with excellent interpersonal and communication skills.
- Independent and self-motivated.
Education:
- Degree in Information Systems, Computer Science, Engineering, or equivalent.
Illumina believes that everyone has the ability to make an impact, and we are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information.