Osi Pi Developer L3

OSI PI Senior Developer

AVEVA PI and Process Digital Twin Engineer to design develop validate and support industrial digital twin solutions.

The role will integrate real-time and historical plant data from AVEVA PI System with first-principles process models preferably developed in Aspen HYSYS to enable process monitoring performance analysis scenario evaluation and operational optimization. The successful candidate will combine strong process engineering knowledge with industrial data-platform expertise and disciplined model and data quality practices.

Key Responsibilities

• Lead the design development configuration and deployment of process digital twin solutions using AVEVA PI System and process simulation platforms.
• Integrate real-time and historical plant data with process models to support model calibration performance monitoring what-if analysis forecasting and optimization use cases.
• Develop configure and maintain AVEVA PI components including PI Data Archive Asset Framework Asset Analytics Event Frames Notifications PI Interfaces/Connectors PI Web API and related client tools.
• Create and enhance PI AF hierarchies templates attributes analyses calculations event logic and reusable asset models.
• Develop or maintain steady-state and/or dynamic process simulation models preferably using Aspen HYSYS based on process flow diagrams piping and instrumentation diagrams equipment data sheets operating philosophies and plant operating data.
• Define tag-to-model mappings and establish reliable data exchange between PI simulation engines control systems databases and downstream analytics or visualization applications.
• Perform process model calibration reconciliation sensitivity analysis validation and performance benchmarking against actual plant data.
• Design PI Vision displays trends dashboards and contextual views for operations engineering reliability and management users.
• Establish and execute QA/QC procedures for source data tag mappings calculations simulation outputs dashboards and digital twin releases.
• Identify data-quality issues such as missing values stale tags bad quality flags unit mismatches timestamp misalignment outliers and sensor drift; define appropriate remediation or exception-handling rules.
• Conduct functional integration regression performance and user-acceptance testing; document test evidence and ensure traceability to requirements.
• Monitor solution health and troubleshoot PI interfaces data latency archive gaps AF analyses model convergence integration failures and visualization issues.

Stakeholder Collaboration-Collaborate with cross functional teams to understand requirements support development activities check system compatibility and ensure solutions meet expected standards.