**Job Summary** The Senior AVEVA PI Engineer role will give the opportunity of be part of a multidisciplinary team that will define the strategy and technical solutions of the implementation of a PI system in the extension project an ampliation of a Pharma manufacturing site. During the project duration the foundations of the data collection strategy will be defined and establish. **Key Responsibilities** + Design and implement data acquisition strategies to capture real-time manufacturing data from various sources, including process equipment, instruments, IOT & control systems. (MES, BMS, DCS, OEM etc…) + 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 OSIsoft PI system. + Provide technical support to end-users on data acquisition tools, OSIsoft 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 OSIsoft 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 (e.g., Tableau, Power BI. + Experience with programming languages (e.g., Python, SQL) and scripting is advantageous. + Knowledge of regulatory requirements (e.g., FDA, GMP) related to data integrity and computerized systems validation. **Qualifications:** + Bachelor's degree in engineering, computer science, or a related field. + Formal Training on PI system (nice to have). Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.