Senior Software Engineer, Google Cloud Dataproc

Job description

Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Enhance Apache Spark for performance, reliability, security, and monitoring; simultaneously enhance Lake House technologies like Iceberg, Hudi, or Delta Lake for performance, security, and monitoring. Contribute to and adapt existing documentation or educational content based on product and program updates as well as user feedback; extend open-source technologies like Apache Spark, Hive, and Trino to improve their debuggability, observability, and supportability. Minimum Qualifications: Bachelor’s degree or equivalent practical experience. 5 years of programming experience with Java or C++. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience developing with Spark, Hive, or similar analytical engines. Experience designing, analyzing, and troubleshooting large-scale distributed systems. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. 1 year of experience in a technical leadership role. Experience developing with Iceberg, Hudi or Delta. Experience with Database or Data Warehouse internals.