Distributed Data Infrastructure Engineer (Port Moody)

Join Cadence in Port Moody as a Distributed Data Infrastructure Engineer, focused on crafting cutting-edge tools for circuit simulation. Utilize your Python skills to develop robust data management systems for extensive circuit designs. This position requires a solid understanding of distributed systems with at least three years of applied experience. You'll work on constructing efficient ingestion pipelines, implementing high-performance I/O, and ensuring optimal task distribution and resource management for substantial datasets. Your insights will be key to enhancing the capabilities of our distributed tooling. Key Responsibilities: • Build ingestion and I/O management systems for large datasets • Improve distributed task scheduling and monitoring • Implement load balancing across computing clusters • Optimize granularity of tasks and workflow dependency • Ensure high observability in distributed processes Requirements: • 3+ years in distributed systems engineering using Python • Experience with frameworks like Celery and Spark • Knowledge of fault tolerance and data locality • Familiarity with high-performance data formats • Proven Python programming in team-oriented environments Leverage your expertise in distributed data systems at Cadence and contribute to the advancement of circuit analysis technology. #J-18808-Ljbffr Apply on Kit Job: kitjob.ca/job/2nax2j