Sr Data Engineer / Apache Cassandra Administrator

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.

• Participate in the continuous efforts to improve the design and architecture of our application
• Install, configure, upgrade, and maintain Apache Cassandra clusters (on-premises and/or cloud-based)
• Monitor database health and performance using tools such as nodetool, JMX, Prometheus, Grafana, Medusa
• Perform regular backup and restore operations using native and third-party tools
• Manage compaction strategies (Size-Tiered, Leveled, Unified) and optimize read/write paths
• Proactively identify performance bottlenecks and apply tuning strategies
• Handle schema changes, keyspace/table design, and data modeling best practices
• Troubleshoot and resolve database incidents and support high availability and disaster recovery strategies
• Automate routine operations using shell scripts, Python, or Ansible
• Collaborate with developers, SREs, and DevOps teams to support CI/CD integration and deployment pipelines
• Proactively ensure the highest levels of systems and infrastructure availability
• Work closely with the Application and Database teams to resolve issues and improve customer experience
• Build and sustain high-performance databases on on-premises and Cloud infrastructure

• Proven experience as a Cassandra Administrator or in a similar database administration role
• 3+ years of hands-on experience administering Apache Cassandra in production environments
• Experience with tools like nodetool, Medusa, Reaper, and other Cassandra management utilities
• Hands-on experience with monitoring and observability tools such as Prometheus, Grafana, or similar solutions
• Implement robust security practices, including user authentication, authorization, and encryption for data in transit and at rest
• Experience with automation and managing infrastructure as code: terraform / Ansible / chef / puppet
• Hands-on experience with monitoring and observability tools such as Prometheus, Grafana, or similar solutions
• Strong communication skills and the ability to work across engineering teams
• Strong troubleshooting skills
• Demonstrated ability to generate and maintain technical documentation
• Prior exposure to some programming languages like Python, Perl, Java
• Solid knowledge of Shell Scripting and command line management
• Familiarity with cloud platforms (AWS, Azure, GCP) and deploying Cassandra in cloud environments
• Strong understanding of Cassandra architecture (gossip, hinted handoff, replication, partitioning)
• Proficiency in scripting (e.g., Bash, Python, or Perl)

Big Plus Experiences:

• Experienced with data processing tools
• Experience with Kubernetes and running Cassandra in containerized environments
• Apache Cassandra certificate

Education

Bachelor of Science or higher in Computer Science or Electrical and Computer Engineering preferred