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
