Technician 2, Process

Job Description Job Description for MRE Engineering Technician Perform all types of DET Guzik & QMT test Ensure no delay in DET testing and that the test results are available on time Buyoff measurement result is shown consistent and stable to meet Test Criteria Compile and upload data to Online SPC timely to meet expected Test TAT Continuously update all test request and other necessary tracking Receive from previous shift and pass down information to next shift clearly Perform head change whenever required Perform tester conversion buyoff and tester troubleshooting Support data package compilation for NPI, SMO, Time Slice and by request. Support reference & head issuance and inventory management Support reference generates and head screening activities Perform and maintain MRE lab 7S and follow all safety and health rules Carry out all jobs/tasks as assigned by Engineers PN1-PN2 cross plants travelling to support whenever required Able to work in cleanroom environment and rotating shift pattern 12 hourly Able to support different shift and work location as assigned Qualifications Required : Diploma or Advanced/Higher/Graduate Diploma in Engineering (Mechanical), Engineering (Mechatronic/Electromechanical), Engineering (Electrical/Electronic) or equivalent 1-2 Years working experience in manufacturing environment with machine operation, data collection & analytical skills is preferred. Working experiences in sputter metrology tool and knowledge of Magnetic materials used in HDD would be an added advantage. Understanding of failure mechanisms, ability to isolate & detect process changes causing machine alarms. Preferred : Proficient in MS Windows Software (Word/Excel/Power Point/Outlook). Macro in excel would be an added advantage Effective team player with proven relationship building & communication skills, including cross-functionally with Production, Process, Yield, and Quality. SKILLS: Junior/Senior Level Process Technician Problem Solving – Proficiency in troubleshooting process controls, process adjustments, data readback from machine, control limits. Communication - Ability to communicate technical information effectively to colleagues and engineers. Safety – Strong understanding of safety protocols and regulations in the manufacturing environment. Teamwork – Ability to work collaboratively with engineering, production, and quality teams. Adaptability - Proficiency in handling emergencies and unexpected equipment failures. Additional Information WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com. Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data.