Lead Data Engineer with AI Focus
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Summary
Lead Data Engineer at Sanofi in Toronto directing a team that builds and optimizes data platforms and pipeline architecture with an AI focus, partnering across technical and non-technical teams. Core stack includes SQL, Python, Snowflake, and AWS with ETL/ELT practices.
Join Sanofi as a Lead Data Engineer, specializing in AI solutions. Leverage your engineering skills to enhance data pipeline architecture for commercial success.
As a seasoned engineering leader, you will direct a team dedicated to building and optimizing data platforms. This role involves drafting technical plans, ensuring quality delivery, and partnering with both technical and non-technical teams to meet ambitious business objectives. Your commitment to operational excellence will help drive efficient data practices.
Key Responsibilities: • Lead and mentor data engineering teams for best practices • Build and deploy state-of-the-art data products • Collaborate on technical design for data initiatives • Oversee project execution across engineering tasks • Optimize data solutions for performance and reliability
Requirements: • 8+ years in data engineering or analytics • 2 years managing engineering teams or projects • Proven experience with tools like Snowflake/AWS • Advanced skills in SQL and Python • Exposure to ETL/ELT processes and practices
Shape the future of data engineering at Sanofi by harnessing your technical experience and leadership abilities.
As a seasoned engineering leader, you will direct a team dedicated to building and optimizing data platforms. This role involves drafting technical plans, ensuring quality delivery, and partnering with both technical and non-technical teams to meet ambitious business objectives. Your commitment to operational excellence will help drive efficient data practices.
Key Responsibilities: • Lead and mentor data engineering teams for best practices • Build and deploy state-of-the-art data products • Collaborate on technical design for data initiatives • Oversee project execution across engineering tasks • Optimize data solutions for performance and reliability
Requirements: • 8+ years in data engineering or analytics • 2 years managing engineering teams or projects • Proven experience with tools like Snowflake/AWS • Advanced skills in SQL and Python • Exposure to ETL/ELT processes and practices
Shape the future of data engineering at Sanofi by harnessing your technical experience and leadership abilities.