PDF Solutions is redefining the way the semiconductor industry approaches data, analytics, and experience design. As part of our journey, we’re building Next gen platform — a modern, human-centered analytics platform. We believe design systems aren’t just about consistency — they’re about scalability, collaboration, and performance. As a Data Engineer at PDF, you will be part of a global team dedicated to leveraging innovative approaches and public cloud infrastructure to refine and enhance the design and architecture of our Big Data Analytics software. In this role, you will: Architect robust databases: Develop and maintain scalable NoSQL Apache Cassandra to support our advanced analytical solutions. Maintain scalable Database: Play a critical role in ensuring the high availability, performance, and scalability of our Cassandra clusters while supporting development teams and troubleshooting complex database issues. Contribute to scalable solutions: Design, implement, and maintain the scalable data processing components of PDF’s Analytics software. Bring DevOps expertise: Automate infrastructure using modern tools like Terraform and Ansible, ensuring efficiency and reliability. This position is ideal for engineers passionate about working with cutting-edge technology to drive impactful results.
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Job Type
Full-time
Career Level
Mid Level