Senior Data and AI Engineer at Sanofi
Summary
Senior Data and AI Engineer at Sanofi in Toronto who leads a data engineering team to build scalable data pipelines, improve production data processes, and deliver business insights. Core stack includes Spark, AWS, SQL and Python, reporting to the Head of Data Engineering.
Accelerate data innovation at Sanofi as a Senior Data and AI Engineer in Toronto. Lead a talented team to develop high-quality data engineering projects that drive business insights.
In this senior role, you will be instrumental in managing engineering teams and projects. Reporting to the Head of Data Engineering, you will provide guidance on designing and building data pipelines while ensuring quality and sustainability. This position demands strong collaboration with technical and business stakeholders to extract value from data.
Key Responsibilities: • Lead a team to develop best practices in data engineering • Create and deploy scalable data pipelines for analytics • Engage in discovery and technical planning sessions with teams • Balance team execution across multiple data initiatives • Enhance production data processes and monitoring strategies
Requirements: • 8 years of experience in data engineering or AI • 2 years of experience managing teams or projects • Proven track record of scalable data solutions with Spark • Familiarity with AWS and cloud engineering tools • Proficient in SQL, with knowledge of Python preferred
Harness your leadership and technical skills to transform data practices for Sanofi's future in Toronto.
In this senior role, you will be instrumental in managing engineering teams and projects. Reporting to the Head of Data Engineering, you will provide guidance on designing and building data pipelines while ensuring quality and sustainability. This position demands strong collaboration with technical and business stakeholders to extract value from data.
Key Responsibilities: • Lead a team to develop best practices in data engineering • Create and deploy scalable data pipelines for analytics • Engage in discovery and technical planning sessions with teams • Balance team execution across multiple data initiatives • Enhance production data processes and monitoring strategies
Requirements: • 8 years of experience in data engineering or AI • 2 years of experience managing teams or projects • Proven track record of scalable data solutions with Spark • Familiarity with AWS and cloud engineering tools • Proficient in SQL, with knowledge of Python preferred
Harness your leadership and technical skills to transform data practices for Sanofi's future in Toronto.