Job Description

Locations

• India - Hyderabad

Skills Required

• manufacturing systems engineeringintermediate
• major PI system componentsintermediate
• wide range of PI interface/Connectorintermediate
• batch interfaces such as EMDVBintermediate
• PI System lifecycle managementintermediate
• pharmaceuticalintermediate
• PI System architectureintermediate
• automation systemsintermediate
• data integration/middleware technology such as Kepwareintermediate
• basic AWS technology stack including EC2intermediate
• Industry 4intermediate
• scripting languages like Powershellintermediate

Required Qualifications

• Bachelor’s degree in engineering, Computer Science, Information Systems, or related field (or Master’s degree with relevant experience). (experience)
• 8+ years of experience in manufacturing systems engineering, with 3+ years focused on PI Data Historian or similar industrial data platforms. (experience, 8 years)
• Experience with major PI system components and technologies, including Data Archive, AF, PI Vision, PI Analyses/Notifications, WebAPI, RtReports (experience)
• Experience with a wide range of PI interface/Connector (or Adapter) technologies such as OPC UA/DA, PItoPI, BACNet, RDBMS, UFL. (experience)
• Experience with batch interfaces such as EMDVB, FTBatch, EFGen. (experience)
• Hands-on experience with PI System lifecycle management, upgrades, and enterprise deployments. (experience)
• Experience working on or leading complex upgrade or deployment projects for systems supporting critical activities. (experience)
• Bachelor’s degree in engineering, Computer Science, Information Systems, or related field (or Master’s degree with relevant experience). (experience)
• 8+ years of experience in manufacturing systems engineering, with 3+ years focused on PI Data Historian or similar industrial data platforms. (experience, 8 years)
• Experience with major PI system components and technologies, including Data Archive, AF, PI Vision, PI Analyses/Notifications, WebAPI, RtReports (experience)
• Experience with a wide range of PI interface/Connector (or Adapter) technologies such as OPC UA/DA, PItoPI, BACNet, RDBMS, UFL. (experience)
• Experience with batch interfaces such as EMDVB, FTBatch, EFGen. (experience)
• Hands-on experience with PI System lifecycle management, upgrades, and enterprise deployments. (experience)
• Experience working on or leading complex upgrade or deployment projects for systems supporting critical activities. (experience)

Preferred Qualifications

• Experience in pharmaceutical or regulated manufacturing environments. (experience)
• Strong knowledge of PI System architecture, interfaces (OPC, MQTT, etc.), and integration with MES, ERP, and analytics platforms. (experience)
• Familiarity with automation systems (PLC, SCADA), data analytics, and digital manufacturing initiatives. (experience)
• Familiarity with data integration/middleware technology such as Kepware, Matrikon, HighByte, HiveMQ etc. (experience)
• Familiarity with High Availability architectural patterns for the PI Data Historian components like Data Archive, AF, PI Vision, Analytics. (experience)
• Familiarity with basic AWS technology stack including EC2, EBS, S3, etc. (experience)
• Experience with Industry 4.0 technologies such as UNS, MQTT, Kafka, Streaming Analytics. (experience)
• Excellent problem-solving, communication, and stakeholder management skills. (experience)
• Experience working in global, distributed teams and supporting multiple manufacturing sites. (experience)
• Experience with scripting languages like Powershell and Python is a plus. (experience)
• Certifications in PI System administration or related technologies are a plus. (certification)
• Experience in pharmaceutical or regulated manufacturing environments. (experience)
• Strong knowledge of PI System architecture, interfaces (OPC, MQTT, etc.), and integration with MES, ERP, and analytics platforms. (experience)
• Familiarity with automation systems (PLC, SCADA), data analytics, and digital manufacturing initiatives. (experience)
• Familiarity with data integration/middleware technology such as Kepware, Matrikon, HighByte, HiveMQ etc. (experience)
• Familiarity with High Availability architectural patterns for the PI Data Historian components like Data Archive, AF, PI Vision, Analytics. (experience)
• Familiarity with basic AWS technology stack including EC2, EBS, S3, etc. (experience)
• Experience with Industry 4.0 technologies such as UNS, MQTT, Kafka, Streaming Analytics. (experience)
• Excellent problem-solving, communication, and stakeholder management skills. (experience)
• Experience working in global, distributed teams and supporting multiple manufacturing sites. (experience)
• Experience with scripting languages like Powershell and Python is a plus. (experience)
• Certifications in PI System administration or related technologies are a plus. (certification)

Responsibilities

• Lead lifecycle upgrades, migrations, and enhancements of PI Data Historian systems across Amgen manufacturing sites.
• Lead the PI Data Historian scope for capital projects across the network, ensuring adherence to Amgen technical and business standards for PI.
• Serve as a technical SME for PI Historian, supporting enterprise PI infrastructure and ensuring high availability, performance, and compliance.
• Collaborate with global manufacturing, automation, and IT teams to design, implement, and validate PI solutions for data acquisition, integration, and reporting.
• Develop and maintain documentation, standards, and adhere to best practices for PI system architecture, security, and data governance.
• Develop and maintain PI Asset Framework templates, Analyses, PI Vision displays etc. to be used across Enterprise PI and Manufacturing sites to help achieve business requirements.
• Troubleshoot and resolve complex PI system issues, providing advanced support to site engineers and end users.
• Drive continuous improvement initiatives, leveraging PI data for process optimization, predictive analytics, and digital manufacturing projects.
• Participate in global PI COE activities, knowledge sharing, and training for site teams.
• Ensure compliance with regulatory requirements and Amgen’s quality standards in all PI system activities.
• Support audits, validation, and change management processes related to PI systems.
• Lead lifecycle upgrades, migrations, and enhancements of PI Data Historian systems across Amgen manufacturing sites.
• Lead the PI Data Historian scope for capital projects across the network, ensuring adherence to Amgen technical and business standards for PI.
• Serve as a technical SME for PI Historian, supporting enterprise PI infrastructure and ensuring high availability, performance, and compliance.
• Collaborate with global manufacturing, automation, and IT teams to design, implement, and validate PI solutions for data acquisition, integration, and reporting.
• Develop and maintain documentation, standards, and adhere to best practices for PI system architecture, security, and data governance.
• Develop and maintain PI Asset Framework templates, Analyses, PI Vision displays etc. to be used across Enterprise PI and Manufacturing sites to help achieve business requirements.
• Troubleshoot and resolve complex PI system issues, providing advanced support to site engineers and end users.
• Drive continuous improvement initiatives, leveraging PI data for process optimization, predictive analytics, and digital manufacturing projects.
• Participate in global PI COE activities, knowledge sharing, and training for site teams.
• Ensure compliance with regulatory requirements and Amgen’s quality standards in all PI system activities.
• Support audits, validation, and change management processes related to PI systems.

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