Overview
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.
Responsibilities
- 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
Qualifications
- 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, Google Cloud Platform) 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
EducationBachelor of Science or higher in Computer Science or Electrical and Computer Engineering preferred
Pay Range
USD $115,000.00 - USD $129,000.00 /Yr.
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