PI Engineer

Job Summary

Serve as a senior engineer in execution systems designing and optimizing AVEVA PI Historian based data solutions that support manufacturing and supply chain operations in a hybrid work model. Collaborate with cross functional teams to deliver reliable real time data enhance operational visibility and drive continuous improvement for global enterprise environments.

Responsibilities

Develop and maintain the manufacturing data infrastructure including data acquisition and storage

Design and implement data acquisition strategies to capture real time manufacturing data from various sources including process equipment instruments IOT and control systems such as MES BMS DCS OEM

Develop and maintain data models templates and calculations within the AVEVA PI system to support manufacturing analytics and reporting

Collaborate with cross functional teams to define data requirements and implement solutions to address business needs

Ensure data integrity and consistency by implementing data quality control measures and monitoring data validation processes

Collaborate within Automation Infra team to manage system upgrades patches and performance optimizations for the AVEVA PI system

Provide technical support and training to end users on data acquisition tools AVEVA PI system functionalities and data visualization tools

Stay up to date with industry trends emerging technologies and regulatory requirements related to data engineering and manufacturing systems

Contribute to continuous improvement initiatives identifying opportunities to enhance data management processes system performance and user experience

Essential Skills

Extensive experience working with the AVEVA PI system ideally within the pharmaceutical industry

Understanding of pharmaceutical manufacturing processes including batch processing equipment automation and data acquisition systems

Proficiency in data engineering concepts data integration and data management best practices

Ability to multitask manage multiple projects and prioritize tasks in a busy environment

Nice to Have Skills

Previous experience with data visualization and reporting tools such as Tableau Power BI

Experience with programming languages such as Python and SQL and scripting is advantageous

Knowledge of regulatory requirements such as FDA and GMP related to data integrity and computerized systems validation

Previous experience with data Ops tools such as Ignition Highbyte

Qualifications

Bachelor degree in engineering computer science or a related field

Formal training on PI system nice to have