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.
- Experience in the following areas: Storage Systems, Databases, SQL, Data Analytics.
Preferred qualifications:- Master's degree or PhD in Computer Science or a related technical field.
- Experience building infrastructure in Google Cloud or other Cloud providers.
- Experience with high-performance scalable storage and distributed systems back-ends.
- Experience building or operating large-scale database or data warehouse systems.
- Experience delighting enterprise customers, with an understanding of enterprise workloads.
- Experience with C and Java.
About the jobBigQuery is a cornerstone of Google Cloud Platform (GCP), an exabyte-scale, fully managed cloud data warehouse experiencing rapid growth. As a differentiator, BigQuery empowers customers with an industry-leading analytics platform, fueling the expansion of GCP.
The BigQuery Metadata team plays a critical role in this success, and we are at the forefront of innovation, delivering metadata management for all managed tables, ensuring accuracy, durability, and resilience through continuous collaboration.
As a Software Engineer, you will join our team, with a specific focus on the physical metadata layer and Iceberg Managed Tables. You will be instrumental in contributing to our mission by designing, developing, and maintaining critical metadata services that power BigQuery's performance and functionality.
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 - Design and implement algorithms to automatically update the physical shape of stored data, taking into account system efficiency, scale, and user query performance.
- Design and implement tests and experiments to evaluate and monitor the performance of the system.
- Use the full battery of tools and instrumentation to develop, test and rollout features.
- Coordinate with product engineers in all parts of the software stack.
