Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Preferred qualifications:- Master's degree or PhD in Computer Science, or a related technical field.
- 2 years of experience with data structures and algorithms.
- Experience developing accessible technologies.
About the jobOur team is at the forefront of BigQuery's evolution, driving innovation in metadata infra to power the next generation of data warehousing. We deliver the scalable and reliable metadata foundation for all BigQuery operations while pioneering features for Apache Iceberg.
In this role, you will contribute to exciting developments to Iceberg Tables in BigQuery, enabling seamless interoperability between BigQuery and the open-source ecosystem. Your key responsibilities include building to the Iceberg tables experience, designing for unification and interoperability in the broader Iceberg ecosystem, storage management (garbage collection, coalesce) for Iceberg tables, enhancing metadata management for Iceberg tables, datasets, and partitions; collaborating with teams on unified catalog solutions.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities- Develop C and Java.
- Build or operate large-scale database systems.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Engineer with high-performance scalable storage and distributed systems back-ends.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
