Google is looking to enhance developer and analysis velocity, overall performance, and integrate data journeys by leveraging traditional data infrastructure and AI-driven data assets development and analysis. The role involves leading the development of the Data Lakehouse and enhancing existing systems like the Metric Definition System (MDS) and Core Data Warehouse to support these goals.
Requirements
- 8 years of experience in software development
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with Natural Language Processing (NLP) concepts and algorithms, and experience in designing NLP solutions.
Responsibilities
- Design and implement cross system user journeys that connect multiple data analysis functionalities, discovery, data preparation, analysis, observability, productionalization, etc.
- Improve velocity of and simplify the user journeys with the help of latest A.I. advancements.
- Design and implement system integrations across existing products, including Plx, SQL pipelines, Data Engineering Console, to support the new user journeys.
- Lead design, code, design and code reviews, and proposing solutions to challenging and ambiguous problems.
- Suggest new or change existing processes to improve engineering efficiency and quality for the team.
Other
- Bachelor's degree or equivalent practical experience.
- Advanced degree in Computer Science or related technical field or equivalent practical experience.
- display leadership qualities
- enthusiastic to take on new problems across the full-stack
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
