Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++.
- 5 years of experience with design and architecture; and testing/launching software products.
- Experience in data analytics pipelines/SQL pipelines.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience applying Machine Learning (ML) models to data quality problems such as deduplication or anomaly detection.
- Experience with large-scale distributed data infrastructure.
- Ability to navigate ambiguity and help bootstrap new product areas from 0 to 1.
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 quick-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.
As an Uber Tech lead for this team, you will set the long-term technical goal and build observability systems to connect data quality improvements directly to business metrics.The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through p