Sr. Software Engineer - MES Aspen Job

Job Description

Job Title : MES Aspen Application Expert

Requirement :

• Bachelor’s degree Science or Engineering related to IT\Computer Science\Electronics\Instrumentation\Pharmacy
• Minimum experience of 5-6 years on MES application AspenTech V11, v12,v14.5
• Having good knowledge on Aspen Manufacturing Suite V11, v12,v14.5(Aspentech Infoplus.21 Plant Historian,Aspen Layered Products & Client tools, APRM - Aspen Production Records Manager (Batch Historian – Batch 21), APEM - Aspen Production Execution Manager (eBRS)
• Have experience on new implementation and upgrade projects from requirement gathering stage to qualification and final delivery
• Basic Knowledge of Pharmaceutical manufacturing process – Life science and Electronics
• Having experience on other MES applications like Opcenter Medical Device & Diagnostics is an advantage
• Good understanding and experience of plant manufacturing processes. Have knowledge on MES integration with Level 2, Level 3 and Level 4 systems like SAP ERP, OSI PI, LIMS etc.
• Experience on Microsoft SQL server is advantage
• Understanding of ISA S88 and S95 models
• Knowledge on Computer Systems Validation, SDLC methodologies, 21CFR part 11, and cGMP including GAMP and EU Annex 11

Role Description :

MES Opcenter – Service Engineer – is responsible to support all service and support activities related to the client OP Center platforms under service of IT. This includes the appropriate technical handling of incident and task tickets raised via SNOW, the technically proficient handling and resolution of issues, patches, technical inquiries, monitoring tasks, account requests and other service related activites. Appropriate and service-oriented end user interaction as well as the cooperation within the client IT teams and business stakeholders. Execution of evolutionary maintenance activities and change requests for the implementation of system improvements.

Profile :

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles