Improve traceability and metadata management so data can be understood, trusted, and reused across teams - We are looking for a (Senior) Data Quality & Automation Engineer to build reliable, scalable data foundations for R&D. You will work with complex semiconductor data (wafer, sample, measurement, process) and help enable digital twins, advanced analytics, and efficient execution by making data trusted, traceable, and automated. * Define and evolve data models for R&D entities * Design and implement robust data pipelines and automated data quality checks * Help establish engineering standards for data handling, testing, monitoring, versioning, and documentation * Support the development of scalable digital twin, analytics, and workflow automation use cases by ensuring data is fit for purpose * Evaluate, prototype, and decide when to apply AI/ML vs. rule-based approaches in production data ...
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