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Execution Systems-Eng

00068909985


1. Job Title : Execution Systems-Eng 2. Job Summary : Contribute as an Execution Systems Engineer focusing on AVEVA PI Historian to design implement and maintain robust data collection and analytics solutions for manufacturing and supply chain environments working in a hybrid day shift model to assure high system reliability actionable insights and measurable value for global stakeholders. 3. Experience : 4 - 8 years 4. Required Skills : Technical Skills: AVEVA PI Historian Domain Skills: 5. Nice to have skills : Domain Skills:Manufacturing and Supply Chain 6. Technology : Custom Service 7. Shift : Day 8. Responsibilities : -Design configure and maintain AVEVA PI Historian solutions that reliably capture operational data from diverse manufacturing systems and equipment to support high quality decision making across the enterprise. -Implement robust data acquisition interfaces from shop floor devices and plant systems into AVEVA PI Historian while ensuring accurate tagging time stamping and contextualization for downstream analytics uses. -Optimize data models tag structures and calculation strategies within AVEVA PI Historian to improve query performance reporting flexibility and consistency of operational intelligence across plants. -Collaborate with manufacturing and supply chain teams to translate process requirements into technical specifications for historian configuration event frames and data views that clearly reflect real world operations. -Develop test and deploy PI based dashboards trends and reports that enable operations engineering and planning teams to monitor performance indicators and quickly identify process deviations. -Troubleshoot data flow connectivity performance and configuration issues in AVEVA PI environments and coordinate with infrastructure teams to restore normal operations with minimal downtime. -Document system architectures interface details configuration standards and operating procedures to support maintainability knowledge sharing and compliance with internal governance. -Coordinate change implementation activities for historian related enhancements by performing impact analysis preparing test plans and executing changes during planned maintenance windows in the day shift. -Engage with stakeholders in manufacturing and supply chain functions to continuously identify opportunities for new historian use cases that enhance throughput quality energy efficiency and asset utilization. -Apply secure configuration practices and access controls for AVEVA PI components to protect sensitive operational data while enabling appropriate visibility for global functional teams. -Support hybrid work arrangements by using remote access tools and collaboration platforms to monitor systems perform configuration updates and provide timely incident resolution without requiring travel. -Align daily activities with company sustainability and efficiency goals by enabling data driven insights that help reduce waste optimize resource consumption and improve service levels to customers. -Participate in periodic system health checks capacity reviews and upgrade planning for historian infrastructure to ensure scalability and readiness for future digital initiatives. -Qualifications -Possess professional experience of four to eight years in execution systems engineering or closely related industrial data roles with significant hands on work in AVEVA PI Historian environments. -Demonstrate strong proficiency in configuring tags interfaces asset structures and event frames in AVEVA PI along with practical skills in designing trends displays and performance dashboards. -Bring applied knowledge of manufacturing or supply chain processes so that system configurations calculations and visualizations accurately reflect production flows inventory movements and quality controls. -Show familiarity with common shop floor systems such as distributed control programmable controllers or manufacturing applications enabling effective integration with historian data acquisition components. -Exhibit capability to analyze complex technical issues break them into manageable tasks and communicate clear resolution steps to both technical peers and nontechnical stakeholders in hybrid work settings. -Display solid understanding of data quality concepts including validation reconciliation and exception handling so that historian based reports and analytics can be trusted by business users. -Highlight any exposure to related analytics tools scripting or reporting platforms that complement historian capabilities and support advanced performance monitoring in manufacturing and supply chain operations. 9. Job Location : Primary Location :INTNCHNA10(ITIND MEPZ (TBM) SDB 1 -4 SEZ) Alternate Location :NA NA Alternate Location 1 :NA NA 10. Job Type : Execution Systems-Eng [65SG05] 11. Demand Requires Travel? : No 12. Certifications Required : NA


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。

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