Opis stanowiska

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.

- Write product or system development code for our Shopping Graph.
- Provide a wide range of exciting engineering tests, spanning across data quality and infrastructure areas.
- Develop systems and solutions with a focus on data mining, experiments, logging, metrics and the associated infrastructure.
- Optimize the large scale data processing infrastructure: improve costs/latency of the offer discovery and data processing.

Podstawowe kwalifikacje

- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
- 2 years of experience with data structures or algorithms.
- Experience with C++ coding language.

Preferowane kwalifikacje

- Experience with Machine Learning.
- Experience working with Structured Query Language.
- Experience with data mining.
- Experience in large scale distributed data processing.

Zakres obowiązków

- Write product or system development code for our Shopping Graph.
- Provide a wide range of exciting engineering tests, spanning across data quality and infrastructure areas.
- Develop systems and solutions with a focus on data mining, experiments, logging, metrics and the associated infrastructure.
- Optimize the large scale data processing infrastructure: improve costs/latency of the offer discovery and data processing.