Software Engineer III, Shopping Metrics and Exporting Platform - Google Careers

Location: Zürich

Software Engineer III, Shopping Metrics and Exporting Platform

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• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development with C++, F1 and distributed computing.
• 2 years of experience with developing large-scale infrastructure and Debugging.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures or algorithms.
• Experience dealing with complex datasets, including aspects like policy, access controls, data sharing, etc.

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.

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.

You will work on expanding the Shopping Metrics and Exporting Platform SQL and Shopping Metrics and Exporting Platform RPC offerings. This will include a blend of coding, performance optimization, debugging and client support. You will develop a deep understanding of distributed processing (F1 both streaming and batch, and Flume), and also of the various storage and scheduling tech stacks that Google has.

A lot of the work that happens in the team is pushing the boundaries of the technologies we work with, so the ideal candidate needs to be willing and able to dig deep into the inner workings of other frameworks / platform.

People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers.

We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today’s digital world.

Responsibilities

Build infrastructure supporting large scale, high throughput batch data processing (100s of PB) using C++, Flume, F1 Batch, Dreampipe.

• 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).
• Develop solutions for low latency interactive querying of our data using technologies such as C++, F1 Query,…