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Data Engineer - Google Cloud Expert

Summary

Build and optimize Google Cloud-based data pipelines and infrastructure to support scalable, AI-ready data processing for millions of users.

Become a key player in the Data Infrastructure team in Toronto as a Data Engineer. Your expertise in cloud processing will help shape data handling for millions of users. This role aims to improve the company’s data processing framework, focusing on enhancing tools and workflows for developers. Collaborating with engineers, you’ll tackle complex data challenges while advancing the capabilities of our data infrastructure on Google Cloud. Key Responsibilities: • Develop large-scale data processing tools for cloud environments • Partner with product teams to launch impactful data features • Enhance existing data infrastructure for scalability and adaptability • Drive best practices for data practitioners and standardization • Support AI readiness in data infrastructure development Requirements: • At least 3 years of experience in data engineering • Skilled in Python or frameworks such as Flink • Strong grasp of scalable architectures and systems design • Proficient in handling diverse datasets in cloud systems • Committed to coding best practices, testing, and maintainability Shape the future of data processing as part of our innovative team in Toronto.

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