Execution systems-Snr Eng

Cognizant; Chennai Metropolitan Area; Ibrido; INR 1.800.000 - 3.000.000; Tempo pieno

Descrizione del lavoro

Cognizant in Chennai seeks a senior Execution systems Engineer to design, implement and optimize AVEVA PI Historian driven data solutions for manufacturing and supply chain performance. This role operates in a hybrid model with focus on reliability, integration with enterprise platforms and actionable insights for stakeholders.

The candidate will lead PI configurations, interfaces, data models and dashboards, mentor juniors and collaborate across global teams to deliver scalable, safe and

Competenze

• Hands-on experience implementing AVEVA PI Historian for large industrial operations.
• Knowledge of PI interfaces asset framework and data archiving.
• Experience with OT data to enterprise/cloud integrations.
• Ability to design data models analytics reflecting business indicators.
• Proficiency in querying time-series data and creating reporting diagnostics.
• Strong communication to bridge operations business and tech teams.
• Comfort working in a hybrid model and coordinating with global teams.

Mansioni

• Design and implement AVEVA PI Historian architectures to capture time series data for operations reporting and analytics.
• Configure and optimize PI interfaces for secure data ingestion across sites.
• Develop PI data models asset framework and event frames aligned with business structures.
• Build PI-based calculations analytics rules and notifications for actionable insights.
• Create dashboards and trends using PI vision or similar tools for cross-team monitoring.
• Collaborate with manufacturing and supply chain to translate challenges into scalable PI solutions.
• Integrate PI Historian with MES and data warehouses for unified operational data.
• Establish standards for data quality tagging security and retention in PI ecosystem.
• Troubleshoot performance issues analyze logs and data flows to reduce downtime.
• Document designs configurations and procedures for knowledge transfer.
• Mentor engineers on PI concepts configuration and troubleshooting.
• Coordinate with cybersecurity for access controls and patching of PI components.
• Drive continuous improvement by reviewing metrics and proposing enhancements.

Conoscenze

Manufacturing and Supply Chain

Strumenti

AVEVA PI Historian

Descrizione del lavoro

1. Job Title : Execution systems-Snr Eng 2. Job Summary : Serve as a senior engineer for execution systems focused on AVEVA PI Historian designing implementing and optimizing data driven solutions that improve manufacturing and supply chain performance in a hybrid work model while ensuring high system reliability seamless integration with enterprise platforms and actionable insights for business stakeholders. 3. Experience : 8 - 12 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 and implement robust AVEVA PI Historian architectures that reliably capture high volume time series data from diverse plant floor and execution systems to support critical operations reporting and analytics.
• -Configure and optimize AVEVA PI interfaces and connectors to ensure accurate timely and secure data ingestion from control systems IoT devices and execution platforms across multiple manufacturing sites.
• -Develop advanced PI data models asset frameworks and event frames that align operational tags with business relevant structures enabling more meaningful analysis and streamlined reporting for stakeholders.
• -Build test and maintain PI based calculations analytics rules and notifications to surface actionable insights that improve equipment effectiveness process stability and resource utilization.
• -Create intuitive dashboards and trends using PI vision or equivalent visualization tools that allow operations quality and supply chain teams to monitor performance and respond quickly to deviations.
• -Collaborate with manufacturing and supply chain partners to translate operational challenges into scalable PI Historian solutions that directly support productivity sustainability and cost optimization goals.
• -Integrate PI Historian with enterprise applications such as manufacturing execution planning and data warehouse platforms to provide a consistent and trusted source of operational data.
• -Establish and enforce standards for data quality tag naming security and retention within the PI ecosystem to ensure long term maintainability and auditability of execution data.
• -Troubleshoot complex performance issues in PI infrastructure by analyzing system logs resource utilization and data flows then implement corrective actions that minimize downtime and data loss.
• -Document technical designs configuration baselines and operating procedures in a clear and reusable format that supports efficient knowledge transfer across engineering and operations teams.
• -Mentor less experienced engineers on PI Historian concepts configuration practices and troubleshooting methods to strengthen team capability and delivery quality over time.
• -Coordinate with cybersecurity teams to apply appropriate access controls patching and monitoring on PI components ensuring that operational data platforms comply with corporate risk policies.
• -Engage in continuous improvement initiatives by reviewing operational metrics gathering user feedback and proposing enhancements to execution data solutions that support safer cleaner and more efficient production.

9. Qualifications

• -Demonstrate extensive hands on experience in implementing and administering AVEVA PI Historian environments for medium to large scale industrial operations over several years.
• -Apply practical knowledge of PI interfaces asset framework data archiving backup and system monitoring to maintain highly available and resilient execution data platforms.
• -Utilize familiarity with manufacturing processes or supply chain operations to design data models and analytics that reflect real world constraints and business performance indicators.
• -Exhibit proficiency in querying and transforming time series data using scripting or configuration based tools to support reporting diagnostics and advanced analytics initiatives.
• -Leverage experience with integration of OT data to enterprise or cloud platforms to support broader digital transformation and data democratization objectives for the organization.
• -Communicate complex technical topics in a clear and inclusive manner to operations business and technology partners to support effective decision making and solution adoption.
• -Operate comfortably in a hybrid work model while coordinating with global teams during day shift schedules without the need for frequent travel.

10. Job Location : Primary Location :INTNCHNA10(ITIND MEPZ (TBM) SDB 1 -4 SEZ) Alternate Location :NA NA Alternate Location 1 :NA NA 11. Job Type : Execution systems-Snr Eng [60SG05] 12. Demand Requires Travel? : No 13. Certifications Required : NA