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
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
