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
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
