5 Aveva Pi Jobs

Work Your Magic with us! Ready to explore, break barriers, and discover more We know youve got big plans so do we! Our colleagues across the globe love innovating with science and technology to enrich peoples lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That`s why we are always looking for curious minds that see themselves imagining the unimageable with us. Your Role This role is for an expert for configuration of Manufacturing Applications within Companys Life Sciences Engineering Organization. The group within Engineering is the team of Smart Manufacturing and Digital Operations (SMDO), and more specifically within the SMDO Digital Plant team. Your primary responsibilities include the following: Expertise to configure, author workflows and deliver application configurations within MES, EBR and DH applications to fit the needs of specific business needs within our Global Operations network. You will work with Digital Plant team member(s) to first understand business needs with or Digital Plant team, then help scope, and then create a development and rollout plan per project, or initiative. Once the development and rollout plan is created, the core work will consist of creating application content which will be put into a productive environment for one or more sites in our network. For MES and EBR, your primary focus will be to create MBRs, recipes, workflows and configurations needed for MES and EBR applications, Master Batch Record and Recipe authoring. Your secondary focus for MES and EBR will be to our Digital Plant team create standard applications, MBRs, Recipes, standard templates or library elements in one or more of our applications. For Data Historian, your primary focus will be to create and implement equipment and system connections and configurations for GxP and non GxP processes. Your secondary focus for Data Historian will be to create standard visualization models for various equipment types or groups You will also at times collaborate with site teams, Quality and Digital Plant team on specific projects to better understand the context of the business needs so that your development plan and final configurations will be able to satisfy the site expectations. You will use your knowledge and expertise to translate complex manufacturing business processes to workable production ready components. The purpose of the Manufacturing Applications Expert position within Companys SMDO Digital Plant is to contribute to project and strategic execution of manufacturing projects within the Company Life Science network. This global role is created to digitize manufacturing operations at prioritized sites and with specific projects. This will be done so that Company Life Science will increase overall site and network efficiency by digitizing our processes. We will do this by driving paperless manufacturing for Company Life Science. Specifically, the position serves the following key purposes: Work as part of team to deliver value to our sites as a manufacturing system expert. Drive digital value to our sites.Drive scalable and reproducible results for manufacturing. Build in quality aspects into all manufacturing applications. Who You Are Creating Maser Batch Records, Recipes, workflows for manufacturing processes. Creating Aveva PI equipment connections, configurations and PI vision visualizations Demonstrated ability to work productively in a global environment with a proven background in effective collaboration within international teams. Capacity to handle a high workload with a work history of delivering high performance consistently over time. Strong professional-level communication skills to engage with internal and external stakeholders and suppliers in an intercultural environment. You must be able to communicate your understanding of a physical manufacturing process and show how your design and configuration will meet these objectives to digitize them.A university degree, preferably a BS from an accredited university or college, with a degree in an engineering or science discipline. A minimum of 3-5 years of relevant working experience with an international company, ideally supporting Manufacturing Operations, or consulting role servicing manufacturing operations. The ideal candidate will have experience in manufacturing GxP environments, with a proven track record in delivering relevant workstreams within larger projects both on quality and on schedule. An ideal candidate would have 2-4 years experience as an MES engineer with a focus on Life Sciences or BioPharma with one or more of the following MES or EBR systems for example Siemens OpCenter, Krber Pharma PAS-X, Rockwell Pharma Suite, but also other systems such as GE Proficy, Parsec Tracksys, Dassault 3DS Biovia, Apprentice.io Tempo, ProLeiT Plant I.T., Master ControlAlternatively, an ideal candidate would have 2-4 years experience as an expert using the Aveve PI Data Historian in both GxP and non GxP manufacturing environments. Excellent knowledge of designing configuring and releasing master batch records and workflows.Excellent knowledge of how to deliver equipment configurations with Aveva PI. What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of our diverse team! Show more Show less

Be accountable for supporting our site in designing and deploying data architecture and data acquisition and analysis tools: Applies technical knowledge to design, build, and maintain data pipeline architecture, ensuring data is ingested, processed, and delivered to stakeholders in an optimized, analyze-ready format. Shares best practices within the organization, contributing to the delivery of data-analytics projects. Develops a deep understanding of our companys supported technology, grasping the complexity and dependencies between teams and platforms. Communicates effectively with other platform competencies to stay updated on contemporary trends and methodologies being implemented within the company ecosystem. Understands and addresses the business needs and priorities of customers and stakeholders, assisting in the creation of solutions that align with our business goals. Candidate must be able to work independently and as part of a cross-functional team. Strong analytical thinking and technical writing skills Establishes and manages relationships with customers and stakeholders, ensuring their needs are met and their feedback is incorporated into our data engineering practices. Works in less structured problem-solving situations within the data engineering group, relying on own experience and knowledge as well as that of others for scientific judgment. Requirements Degree in IT discipline or STEM (or equivalent qualification) 3+ years experience with Process Data Historian Aveva PI - AF, Event Frames, notifications, and reporting 3+ years experience PI-System performance optimization, monitoring system health, upgrades, etc. Experience and/or familiarity with SCADA systems engineering & deployment - Ignition 8.1, Rockwell Factory Talk, Siemens, Wonderware. SCADA administration and configuration. Expertise in integration with OPC server products like Kepware Experience with automation system architecture, design, start-up, and/or qualification. Experienced problem solver/troubleshooter, skilled in root cause analysis Effective interpersonal and communication skills, both verbal and written. Experience in information technology (IT) solutions design, development, modification, and implementation. Proficiency in working with both new and existing applications, systems architecture, network systems, and applications infrastructure. Ability to review and understand system requirements and business processes. Experience in developing and constructing data products and services and integrating them into systems and business processes. Strong skills in accessing, cleaning, and preparing data, ensuring its reusability. Strong problem-solving skills and the ability to work in a fast-paced environment.

Responsibilities: Develop and/or modify process models for Drug Substance, Drug Product and Packaging operations using discrete event simulation Provide technical support for process optimization analysis, such as debottlenecking, capacity analyses, and what if analysis for manufacturing operations Assist technical OOPT members with data analysis for manufacturing system integrations and the debugging/testing of data interfaces using SQL. Provide customer support for the RTMS platform. This includes troubleshooting, escalating, and resolving issues reported by the users at the different sites Use of agile tools (e.g. Jira, Confluence) and methodologies (e.g. sprints) to deliver defined product increments Delivery in accordance with defined scope/time/acceptance criteria Required Education and Experience: B.S. in Science/Engineering or equivalent technical field with 5-7 years of relevant experience. Demonstrated experience in mathematical modeling and at least one programming/scripting language (e.g. C/C++, Matlab, Python, R, C#, Java). Ability to communicate effectively with both technical and non-technical personnel to achieve the desired outcomes Excellent, proactive written communication, coupled with the ability to divide assigned tasks into smaller increments to leverage the timezone differences across the team. For example, the ability to receive written feedback on a task from a colleague/customer working overnight, and then work independently to address the feedback and reply in writing so that the colleague/customer can review the completed task when their work hours resume. Strong analytical problem-solving skills and ability to work independently within the role s defined responsibilities. For example, although these roles work in collaboration with other technical team members, success will require the ability to proactively and independently overcome obstacles. Successful candidates should be prepared to apply their full expertise to situations and take appropriate initiative to solve problems. Ability to work both independently and collaboratively with a globally dispersed team Practice in Agile Methodology and Continuous Improvement and with a Digital & Innovative mindset Expertise in authoring and executing technical documentation following industry standards and methodologies (SDLC, AGILE) Excellent communication and problem-solving skills with a sense of ownership, enthusiasm, and innovation Preferred Experience and Skills: Process Manufacturing expertise, preferably in the pharmaceutical industry Prior experience as an industrial engineer or simulation developer, for example with a design engineering and/or A&E firm using discrete event simulation in the pharma industry is strongly preferred; prior experience as an automation/controls developer in pharma or an adjacent process industry is an advantage Familiarity with manufacturing scheduling, discrete event simulation, finite state machines, and associated algorithms Experience using SQL to query and analyze datasets, including metrics/KPI calculation Knowledge of manufacturing systems such as PAS-X MES, Aveva PI, etc.

Senior Data Engineer Aveva PI Specialist Location: Hyderabad Experience: 8+ years Job Type: Full-Time Industry: Pharmaceuticals / Biotech / Manufacturing Work Mode: Hybrid Job Summary: We are looking for a Senior Data Engineer with deep expertise in Aveva PI solutions to join our organization. This critical role involves leading the implementation and governance of Aveva PI across multiple manufacturing sites while driving its strategic adoption within our Center of Excellence (CoE) . The ideal candidate will bring a balance of strong technical skills, industrial domain knowledge, and experience in data governance to optimize real-time data solutions. Key Responsibilities: Lead end-to-end implementation of Aveva PI across manufacturing plants. Install, configure, and validate PI Servers and data connectivity (e.g., OPC, PI Cloud Connect, PI WEB API, RDBMS, UFL ). Design and build AF structure, Event Frames (EF), PI Analytics, Notifications , and develop data architecture for collection, aggregation, and visualization. Drive the strategic vision and adoption of Aveva PI through the CoE. Establish and maintain governance frameworks and compliance standards for Aveva PI usage. Collaborate with cross-functional teams to gather requirements and implement robust system architectures. Develop and maintain technical documentation , best practices, SOPs, and training resources. Ensure high availability and performance of Aveva PI systems through proactive monitoring and support. Lead cross-functional forums to promote knowledge sharing , innovation, and continuous improvement. Required Skills & Experience: 8+ years of hands-on experience with Aveva PI, including full-cycle implementations. In-depth knowledge of PI System components : PI Server, PI AF, PI Vision, PI Interfaces, PI Analytics. Solid understanding of industrial automation , process data integration , and ERP/MES system interactions . Experience with GMP environments , including creation of qualification and compliance documentation. Strong scripting and data skills: SQL, Python or similar. Familiarity with cloud technologies and data lake integration with PI data. Proficiency in data governance and OT systems best practices . Excellent communication and leadership skills to guide stakeholders and lead forums. Experience in Agile delivery environments and working in or establishing Centers of Excellence (CoE) . Preferred Industry Experience: Pharmaceuticals Biotech Chemicals / Manufacturing Why Join Us? Be a key part of a strategic digital transformation initiative Work with cutting-edge PI and cloud technologies Lead innovation in real-time industrial data systems Opportunity to shape and grow a Center of Excellence Apply Now on minal_mohurle@persolapac.com to drive operational excellence through data! CONFIDENTIAL NOTE: By submitting your resume or personal data, you acknowledge reading and agreeing to our Privacy Policy . You hereby provide voluntary consent to the collection, use, processing, and disclosure of your data by us and our affiliates, in line with the Privacy Policy . and applicable laws. If you wish to withdraw your consent or have any concerns, you may submit a request to our designated consent manager, as outlined in our Privacy Policy . We prioritize your privacy. SECURITY NOTE: We at PERSOLKELLY India or our representatives, do not ask job seekers for fees, personal banking information, or payments through unofficial channels. Official communications will only come from @persolkelly.com. Report any suspicious activity to [Contactus_in@persolkelly.com]Contactus_in@persolkelly.com . Click here to find out how you can safeguard yourself from job scams..

Walk-In Interview in Chennai for OT Cyber Security | Aveva UOC , UI / UX | MES , Aveva Pi Join Schneider Electric and Be a Part of the team that's changing the WORLD! Unleash your potential at our Talent Event! Date: 07th June 2025 | Time: 09:00 AM - 04:00 PM Interview Venue Information: Schneider Electric Systems Pvt Ltd Tamarai Tech Park, SP Plot#16-19 TVK Industrial Estate, Guindy, Chennai. Candidate should have minimum 7 to 12 years of experience. Education: B.E/B.Tech Control & Instrumentation / Computer / Information Technology / Electrical / Electronics. Interested candidates kindly register, use the below link https://careers.se.com/event-3999/talentcommunity/form Mandatory Document: 1. Aadhar Card-Original 2. Update Resume