Staff Software Engineer, Data Architect, Corporate Engineering

Minimum qualifications :

• Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing.
• Experience with various database technologies, ETL / ELT processes, and data warehousing / lake concepts.

Preferred qualifications :

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. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google's IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

Responsibilities

Skills Required

Tensorflow, ELT, Natural Language Processing, C, Web Services, Java, Database Technologies, Typescript, Deep Learning, BigQuery, Etl, Angular, Data Warehousing, Python, Artificial Intelligence, Machine Learning Algorithms, Javascript, Agile Development Methodologies, Google Cloud Platform