Data Engineer - Central Singapore - Abbott Laboratories
Description
Primary Function/Primary Goals/Objectives:
- Identify business needs, collect, data analysis & interpretation and visualization of manufacturing and business data. Report insights and help users to make decisions and find improvement opportunities.
Major Responsibilities:
- Engaging crossfunctional stakeholders to understand business requirements (voice of customer).
- Manage crossfunctional projects from ideation, execution to change management.
- Extract, transform and load data from data source systems, machines and sensors using tools such as Python, SQL, SEEQ and batch scripting.
- Develop data cleaning and data wrangling tools (Python, SQL, Excel) for analysis and analytics modeling.
- Extract time series process data from PI process historian using PI Web API.
- Implement next generation electronic tier reporting dashboard through data automation and analysis solutions.
- Serve as an onsite consultant for existing data systems.
- Troubleshoot issues via root cause analysis and implement timely corrective actions
- Upgrading existing dashboards, apps and tools based on business needs.
Skills/Experience Requirements:
- Major in Computer Science, Computer Engineering or related fields from a recognized university.
- Major in Engineering with a minor or second major in Computer Science from a recognized university.
- Strong knowledge and experience in Programming Languages like Java, Python, R, etc.
- Strong knowledge in data visualization tools like Python, PowerBI, Tableau, QlikView and SEEQ.
- Strong analytical/critical thinking/problem solving skills.
- Strong communication skills and stakeholder management skills.
- Knowledge in Microsoft Power Platform tools such as Power Apps, Power Automate, Power Query and Power BI.
- Strong knowledge and experience in SQL, batch scripting, etc.
- 23 years work experience as a Data Engineer, Data Analyst, Business Analyst or related roles in a mature manufacturing/tech/IT consultancy firm.
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