Minimum qualifications:

• Experience in computer science, data structures, algorithms, and software design.
• Experience with one or more programming languages (e.g., Java, C/C++, Python, Objective C, JavaScript, Go, etc.).

Preferred qualifications:

• Understanding of algorithms and data structures and their time/space performance

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.

The Data Measurements team builds the infrastructure necessary to collect and measure usage and adoption.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Work with teams across Geo Merchant and Geo Consumer to understand their data logging needs.
• Help to run experiments on logs through building pipelines.
• Work with the analyst team and understand data requirements and policies.
• Collaborate across the whole stack when needed, including frontend for data acquisition.