AVEVA PI Engineer

Cognizant
Lalín, Spain
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
€ 60K

Job location

Lalín, Spain

Tech stack

Batch Processing
Data Validation
Information Engineering
Data Integration
Data Integrity
Monitoring of Systems
Issue Tracking Systems
Python
Performance Tuning
SQL Databases
Scripting (Bash/Python/Go/Ruby)
System Availability
Data Management
ServiceNow
Programming Languages

Job description

Cognizant Life Sciences Manufacturing is seeking an AVEVA PI Engineer to join a multidisciplinary team in Galicia, Spain. The role focuses on ensuring continuous production by supporting the PI Historian Operational Service and involves responsibilities like system monitoring and data integrity management., * Support site vertical integration defined by the Project Manager or Lead Engineer.

  • Create/Update the configuration and validation documents related to the PI system.
  • Ensure data integrity and consistency by implementing data quality control measures., Cognizant is a world leader in delivering digital transformation solutions to Life Sciences. Through our knowledge and expertise in Automation, MES & Digital, we deliver stable manufacturing systems that are optimized to improve operational efficiencies, whilst maintaining compliance.

A continuación, encontrará un desglose completo de todo lo que se requiere de los posibles candidatos, así como la forma de presentar su candidatura. ¡Mucha suerte!

The AVEVA PI Engineer position offers the opportunity to join a multidisciplinary team that operates across multiple sites, providing support for the PI Historian Operational Service. The AVEVA PI Engineer will be an integral member of the support team, responsible for monitoring the system to ensure continuous production at the manufacturing site. Responsibilities

  • Support site vertical integration defined by the Project Manager or Lead Engineer.
  • Create/Update the configuration and validation documents related to the PI system.
  • Execute the validation as defined in the change control.
  • 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.
  • Handling and addressing tickets or issues associated with the PI system.
  • Provide maintenance to the PI system to ensure system availability 24/7.
  • 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.

Requirements

The ideal candidate has a relevant degree and experience with the OSIsoft PI system, along with strong data engineering skills. Join us to contribute to innovative data management processes in the pharmaceutical industry., * Experience working with the OSIsoft PI system, ideally within the pharmaceutical industry.

  • Proficiency in data integration and data management best practices.

  • Experience with ticketing systems such as ServiceNow or similar., Experience with OSIsoft PI system Understanding of pharmaceutical manufacturing processes Proficiency in data engineering concepts Ability to multitask and prioritize Experience with programming languages (Python, SQL), Undergraduate degree in IT, Automation, Science or Engineering, * Undergraduate degree in IT, Automation, Science or Engineering, or a related discipline, or equivalent work experience.

  • 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.

  • Experience with programming languages (e.g., Python, SQL) and scripting is advantageous.

  • Experience with ticketing systems such as ServiceNow or similar.

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