Principal Engineer Data Systems & Management

Head of Data Management section responsible for test data integrity and improvement. Ensure quality and reliability of delivered products meeting IFX quality standard thru SBA control, test program management, test recipe, test data availability and quality. Define data needs, infrastructural requirement & synchronization as well as overall landscape for test data requirement as the role of data steward role. Promote the use of DMAIC systematic and statistical tools in driving yield and quality improvement project. Involve intensively, supervise and assist yield lead on yield improvement activities thru reporting, data analytics, statistics and automation.

Job Description

In your new role you will:

• Support PTE section head in driving performance deliverables mainly Quality, Productivity and Speed which ultimately contribute to department and Melaka site targets.
• Customise scripts (through the development of modules that can be replicated in different use-cases) and automation features on existing data analytics tools to improve efficiency
• Develop auto anomaly detection tool based on statistical methodology. Automate KPI dashboard & data analysis, manage large production data-sets and provides data analysis to improve manufacturing success rates (yield, quality).
• Setup and automate KPI/monitoring/Analysis reports/dashboards reporting
• Setup systematic to ensure reliability of delivered products thru test program management and test data governance
• Support on fast manufacturing data requisition on ad-hoc request from Operations, Quality departments
• Feedback, propose and interface with FI/IT/Cluster colleagues on tool enhancement to contribute to section targets
• Collaborate with PTE/YM/UPE/EE to drive data analytic & yield improvement, reduce LOH rate and LOH cycle time
• Participate in data governance through the creation of data definitions and usage guidance to ensure that data is consistent across systems
• Support on cluster PTE projects as technical/implementation lead

Your Profile

You are best equipped for this task if you have:

• Technical Degree in Computer/Computer Science, Electrical/Electronics or any other relevant engineering discipline
• ≥ 8 years manufacturing experiences and knowledge in databases, mathematical and statistical software packages (Oracle, python, R, SQL etc)
• Well versed in statistical tools (eg. JMP), workflow automation tool (KNIME), data visualization tool (Tableau) and DMAIC methodology
• Good analytical thought and problem solving knowledge in own and other functional areas (e.g. quality, test process)
• Knowledge in big data technology
• Possess knowledge on retrieving mass data directly from MES system data source
• Familiar with entire BE process functionality/baseline
• Effective presentation skills
• Excellent communication skills, oral and written in English
• Well versed in Oracle database, UNIX server, SQL developer
• Excellent interpersonal skills and an ability to work in a team environment

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