Staff Software Engineer, Spark, Open Source, Distributed Systems
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with one or more general purpose programming languages, including Java, C/C++ or Python.
- 3 years of experience with software design and architecture.
- 3 years of experience with open source or developer technologies.
- Experience in software development and engineering, incorporating design methodologies, leveraging open source technologies, and working with distributed computing systems, including Apache Spark, Apache Hadoop, and Apache Hive, with performance.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience in query processing and database internals.
- Experience with big data technologies.
- Ability to work effectively across teams in a distributed environment.
About the job
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
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
- Lead development of next-generation features, positioning Cloud Dataproc as the preferred platform for Spark, Flink, Trino, and emerging cloud technologies. Define the roadmap for enhancing open-source technologies like Spark, Hive, Trino, Iceberg, Hudi, and Delta into Dataproc.
- Establish benchmarks to identify and resolve performance bottlenecks, ensuring large-scale Spark job certification. Enhance the performance and efficiency of open-source technologies within the platform.
- Drive the design and implementation of Data Lakes and Lake Houses, including Apache Iceberg and Hudi. Develop and implement software solutions leveraging Google technologies for accelerated cluster setup, streamlined operations, and comprehensive monitoring.
- Collaborate with Google Cloud Platform (GCP) infrastructure teams to bring the latest GCP features to Dataproc users. Position Cloud Dataproc as the optimal choice for data science, ML and AI workloads.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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