Job Summary
This hybrid role seeks an experienced execution systems senior engineer with strong hands on expertise in AVEVA PI Historian to design implement and optimize data driven solutions for manufacturing and supply chain environments ensuring reliable collection contextualization and visualization of operational data to support insightful decision making and continuous improvement across global operations.
Responsibilities
- Design data acquisition solutions using AVEVA PI Historian to reliably collect store and contextualize operational data from diverse manufacturing and supply chain systems and equipment to support analytics and reporting needs across global sites.
- Implement robust PI interfaces and connectors to integrate field devices control systems and enterprise applications in a scalable manner that improves data availability integrity and timeliness for business stakeholders.
- Configure PI Asset Framework structures and templates to create intuitive and maintainable asset models that reflect physical and logical production hierarchies and enable advanced analytics scenarios.
- Develop and optimize PI Vision displays and dashboards to provide clear operational visibility performance tracking and exception based monitoring tailored to the needs of engineering operations and planning teams.
- Troubleshoot complex historian related incidents by analyzing data flows interface logs and system health indicators and then implement sustainable fixes that minimize downtime and data loss.
- Enhance data quality by defining and applying standard naming conventions units of measure calculation logic and validation rules that promote consistency and usability of time series data across the organization.
- Collaborate closely with manufacturing operations supply chain planning and information technology teams to translate business requirements into technical historian solutions that generate measurable value.
- Optimize historian performance by tuning archival settings calculation schedules and data compression parameters to balance system responsiveness storage usage and analytical accuracy.
- Create and maintain clear technical documentation for historian architectures configurations standard procedures and support guidelines to ensure reliable operations and simplified knowledge transfer.
- Contribute to continuous improvement initiatives by analyzing historian data to identify process inefficiencies equipment performance issues and opportunities for energy and resource optimization.
- Guide peers and junior engineers by sharing best practices in historian configuration industrial data management and solution design while promoting adherence to enterprise standards and governance.
- Coordinate with cybersecurity and infrastructure teams to align historian implementations with security policies access controls and backup strategies while preserving system availability.
- Engage with vendors and internal stakeholders to evaluate new historian features tools and integration patterns that could enhance data driven decision making capabilities.
Qualifications
- Exhibit strong practical experience in designing implementing and supporting AVEVA PI Historian solutions including interfaces asset modeling calculations and visualization components within industrial environments.
- Demonstrate hands on expertise in integrating historian platforms with manufacturing execution systems distributed control systems and enterprise applications enabling end to end data flows.
- Apply solid understanding of manufacturing processes operational technology concepts and plant floor data streams to design historian solutions that reflect real operational needs.
- Leverage exposure to supply chain operations such as planning logistics and inventory management to build historian views that support broader value chain optimization.
- Utilize strong skills in scripting data transformation or basic programming to automate historian tasks streamline configuration activities and support advanced analytics use cases.
- Communicate effectively with multidisciplinary teams and business stakeholders to gather requirements explain technical options and present insights derived from historian data in a clear and concise manner.
- Adapt to a hybrid work model by collaborating virtually and on site as needed while maintaining high levels of ownership documentation discipline and responsiveness for supported systems.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
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