Job Description

Process Data Engineer (Pharmaceutical/ Data Historian/ MSAT)12 Months Contract
Location: Tuas
Up to $8,500 depending on experience
Industry: PharmaceuticalJob 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 -
Recruitment Consultant (R2090579)
Manpower Staffing Services (S) Pte Ltd
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