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 a strong 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
