Process Data Engineer (Pharmaceutical/ Data Historian/ MSAT)

Location Singapore
Discipline Information & Communications Technology
Job Reference BBBH142770_1723965136
Salary S$7000 - S$8500 per month
Consultant Email [email protected]
EA License No. 02C3423


Process Data Engineer (Pharmaceutical/ Data Historian/ MSAT)

12 Months Contract
Location: Tuas
Up to $8,500 depending on experience
Industry: Pharmaceutical

Job Purpose

  • To enable new product acceleration, optimized BOI efficiency and business continuity within the MSAT organization by delivering user-centered, innovative, and impactful scalable data management, ML and AI solutions.



Responsibilities:

  • Partner with internal stakeholders from multiple departments to identify opportunities for applying data engineering and process monitoring solutions for new manufacturing facilities.
  • Exploit opportunities to leverage manufacturing data to develop data engineering and machine learning (ML) models and real-time process monitoring approaches.
  • Partner with the MSAT Data Science and Digital teams to apply re-usable and efficient data engineering solutions for new and legacy facilities, and when developing process analytics solutions
  • Translate data analytics outcomes to non-scientific audiences, champion data-driven decision making and empower end-users to perform simple analytics.
  • Support various stakeholders to ensure timely delivery of data engineering, visualization, ML and AI capabilities. Promote an excellent quality mindset with a focus on data integrity, validation, and data governance.



Requirements:

  • BSc or MSc in Process Engineering, Computer Science, or a similar technical field with 3- 5 years of industry relevant experience.
  • Excellent coding skills in Python, R, and SQL
  • Adept in working with data historian systems, including Aspen IP21 or AVEVA PI Asset Framework (AF) & PI Event Frames - infrastructure, Manufacturing Execution System (MES) and IoT solutions.
  • Knowledge of data analytics, and familiarity with Python libraries such as Pandas, NumPy and Scikit-Learn
  • High level of familiarity using platforms such as Snowflake, AWS, Azure, Github and no-code/low-code applications such as Dataiku.
  • Excellent aptitude in developing data visualization platforms (Power BI, R Shiny, Streamlit, etc.)
  • Experience in using SAP data and the use of transactional and genealogy data in data contextualization.
  • Experience in writing reports and knowledge management documentation.
  • User experience management



Lim Pey Chyi - [email protected]
Recruitment Consultant (R2090579)
Manpower Staffing Services (S) Pte Ltd
EA Licence: 02C3423

Apple, Pey Chyi Lim EA License No.: 02C3423 Personnel Registration No.: R2090579

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by ManpowerGroup Singapore for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012. To learn more about ManpowerGroup's Global Privacy Policy, please visit https://www.manpower.com.sg/privacy-policy