Manufacturing Systems Engineer

22 hours ago

Hyderabad Telangana, India Amgen Full time

Career Category Engineering Role Summary The Manufacturing Systems Engineer supports lifecycle management maintenance and optimization of PI Data Historian systems and modern data collection platforms across the manufacturing network Working under the guidance of senior engineers this role collaborates with cross-functional teams to ensure reliable data acquisition integration and analytics for manufacturing operations The engineer contributes to digital transformation initiatives and operational excellence with a focus on emerging data technologies This role offers opportunities for professional development mentorship and growth within the PI COE and broader organization Key Responsibilities Support lifecycle upgrades migrations and enhancements of PI Data Historian systems across the Amgen network Assist with PI scope for capital projects ensuring adherence to technical and business standards Support enterprise PI infrastructure ensuring system reliability performance and compliance Create scripts and tools to help manage PI systems across the network Collaborate with global manufacturing automation and IT teams to implement PI solutions for data acquisition integration and reporting Help maintain documentation standards and best practices for PI system architecture security and data governance Assist in developing PI Asset Framework templates Analyses and PI Vision displays to meet business requirements Troubleshoot and resolve routine PI system issues escalating complex problems to senior engineers Contribute to continuous improvement initiatives using PI data for process optimization and analytics Participate in global PI COE activities knowledge sharing and training for site teams Support compliance with regulatory requirements and quality standards in PI system activities Assist with audits validation and change management processes related to PI systems Basic Qualifications Bachelor s degree in Engineering Computer Science Information Systems or related field 5 years of experience in manufacturing systems engineering or industrial data platforms Exposure to PI System lifecycle management upgrades and enterprise deployments Familiarity with modern data collection technologies UNS MQTT Kafka Exposure to PI System components and technologies such as Data Archive Asset Framework PI Vision PI Analyses Notifications and WebAPI Familiarity with PI interface Connector technologies including OPC UA DA PItoPI BACNet RDBMS and UFL Ability to develop scripts and tools in Python PowerShell and front-end frameworks Angular React Exposure to batch interfaces such as EMDVB FTBatch and EFGen is a plus Understanding of automation systems PLC SCADA and data analytics concepts Preferred Qualifications Experience in pharmaceutical or regulated manufacturing environments Knowledge of integration with MES and analytics platforms Strong problem-solving and communication skills Experience working in distributed teams and supporting multiple manufacturing sites Certifications in PI System administration or related technologies are a plus Experience with HighByte HiveMQ or similar platform is a plus Work Environment Onsite or hybrid with collaboration across global time zones Participation in PI COE meetings lifecycle planning and upgrade events occasional extended hours for global coordination

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