Job Description . Being part of the team that managed the APF (Advance Productivity Family)of the plant. The APF is a suite of fully integrated software components developed to improve the design, analysis, and event-by-event operation of complex manufacturing facilities. APF can be targeted at solving multiple problems in your facility and is employed for reporting and dispatching, factory automation, or a combination of these goals. . Develop, configure, and maintain APF Formatter logic for data normalization, feature extraction, and transformation across multiple tools and processes. . Design and implement APF Activity Manager workflows to automate execution of control strategies and data processing routines. . Collaborate with cross-functional teams (Process Engineering, Equipment Engineering, IT, and MES teams) to integrate tool, metrology, and MES data streams. . Create and maintain robust trigger conditions and activity dependencies for high-volume manufacturing environments. . Optimize APF applications for performance, reliability, and scalability in high-throughput fab settings. . Troubleshoot APF-related issues and provide long-term solutions through root-cause analysis and system tuning. . Author technical documentation, configuration guides, and provide training to internal stakeholders. . Analyze and estimate KPIs within interdisciplinary teams Qualifications . Personality: motivated, strong in communication, cooperative in working with colleagues and external parties, assertive personality, ready to travel on occasional business trips. . Working Style: independent, result- and quality-oriented and reliable. . Experience and Knowledge: Good knowledge in control/optimization of material flow or scheduling and dispatching of material to equipment Good programming skills in one high level programming language like Java/C# or other with Java/C# comparable language. Good knowledge in SQL, XML and JSON. Good knowledge in webservices/soap technology Very good understanding of complex IT architecture. Experience in work with big data. At least 5 years' experience with scope on information technologies . Enjoy working with people in interdisciplinary international teams . Good communication skills and immediate understanding of complex coherences. . Enthusiasm: interdisciplinary thinking and interest in Leading Edge Semiconductor technology. . Languages: good proficiency in English language. . Education: Bachelor Degree or Master Degree in Information Technology or Computer Science or any comparable studies on IT. Additional Information Benefits: Company Insurances, Transport Allowance, Flexi Work hours, Car Loan Subsidy, Meal Subsidy, High EPF, etc. Leave Entitlement e.g.Annual Leave, Medical Leave, etc.