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X In most instances, this position requires in-person interviews as part of the hiring process.
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 or storage.
- Experience with production in C .
- Experience with each of the following: large-scale distributed systems, Query processing, Query optimization, storage.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical fields.
- Experience with database internals.
- Experience programming in Java.
About the jobWe are at the forefront of the open data lakehouse movement, building enterprise-ready experiences with technologies like Apache Iceberg. Our work is fundamental to the user experience across the Google Cloud platform (GCP) data analytics landscape, and we collaborate closely with partner teams to deliver a seamless product.
As a member of our small and early-stage team, you will have excellent learning and growth opportunities. You will be a part of the BigQuery team, where you will be empowered to design, implement, launch, and land large-scale, impactful projects with the necessary support and guidance, and a large pipeline of enterprise customers waiting to use your features. You will be instrumental in shaping the architecture and future of Google Cloud's open data platform.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Write 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).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- 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.
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