Software Engineer, Bigquery Metadata

Software Engineer, BigQuery Metadata

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. BigQuery 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. We are seeking a passionate and experienced Software Engineer to join our team, with a specific focus on the physical metadata layer and Iceberg Managed Tables. In this role, you will be instrumental in contributing to our mission by designing, developing, and maintaining critical metadata services that power BigQuery's performance and functionality. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.