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Google

Software Engineer, BigQuery Metadata

Google, Sunnyvale, California, United States, 94087

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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. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. BigQuery is a cornerstone of Google Cloud Platform (GCP), an exabyte-scale, fully managed cloud data warehouse experiencing rapid growth. As a strategic 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. 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 related technical fields. 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. 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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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