Staff Software Engineer, Data Architect, Corporate Engineering
Staff Software Engineer, Data Architect, Corporate Engineering
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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 various database technologies, ETL/ELT processes, and data warehousing/lake concepts.
Preferred qualifications:
- Experience in designing and managing data solutions on cloud platforms (e.g., Google Cloud Platform).
- Experience with Angular, TypeScript, JavaScript, data reporting, BigQuery, and other data tools.
- Experience designing and implementing efficient large-scale distributed systems through the full project life-cycle.
- Experience implementing data solutions for SAP ERP systems.
- Experience with Agile development methodologies and familiarity with web services and API ecosystems, or client-server environments.
- Experience setting up clean, well-structured, and accessible data feeds into machine learning models, enabling efficient training, validation, and deployment with the ability to identify and resolve complex data-related challenges.
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
- Be passionate, friendly, motivated Data Architect with an interest in large-scale distributed systems, data and analytics infrastructure, data security, Artificial Intelligence and machine learning.
- Manage project goals, contribute to the organization's data strategy, and oversee the full life-cycle of AI/ML projects.
- Identify and implement improvements to data-related processes and workflows to enhance efficiency.
- Implement robust security measures to protect sensitive data and ensure adherence to privacy regulations. Ensure the data infrastructure can handle large volumes of data and high-performance computing requirements for AI/ML models.
- Drive continuous improvement in data architecture and stay updated on the latest data technologies and trends. Collaborate with infrastructure teams to build the necessary environment for deploying and monitoring ML models.
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