Software Engineer II, Shopping Metrics

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 1 year of experience with data structures or algorithms.

Preferred qualifications:

• Experience with Go, SQL, or C++.
• Ability to drive the impact/outcome of the work rather than the technical complexity of the solution.
• Excellent data analysis skills.

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.

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.

• Implement data pipelines in SQL, C++ and Scaling the platform by including more data and metrics derived from it.
• Define the data schema and the guiding principles for schema extensions for a range of data on the platform.
• Build robust and efficient data pipelines to ingest data from dozens of sources across Google and process and present them in a timely manner.
• Inform and Drive the development of critical business metrics for Shopping strategy.
• Advocate the platform and educate stakeholder teams in engineering, product and data science so they are making use of the platform and helping shape its growth.