Data and Machine Learning Engineering Lead

Data and Machine Learning Engineering Lead Position Title: Data & ML Engineering Lead Department: Data Engineering Location: Downtown area of Toronto, Ontario Main Responsibilities: Propose and establish technical designs to meet business and technical requirements. Develop and maintain data engineering and ML solutions based on requirements and design specifications using appropriate tools and technologies. Create and optimize data pipelines / ETL pipelines for performance. Coach and manage junior Data and ML Engineers, providing guidance, mentorship, and support to foster their professional growth and ensure project success. Work with business and product teams to understand requirements and translate them into technical needs. Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases. Develop automated tests for CI/CD pipelines. Gather and organize large and complex data assets, and perform relevant analysis. Conduct peer reviews for quality, consistency, and rigor for production-level solutions. About You Bachelor’s Degree or equivalent in Computer Science, Engineering, or a relevant field. 6+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or a comparable role with relevant technologies and tools, such as Spark/Scala, Informatica/IICS/dbt. Strong understanding of data structures and algorithms. Working knowledge of scripting languages (Python, Shell scripting). Experience with cloud-based data platforms (Snowflake is a plus). Experience with job scheduling and orchestration tools (Airflow is a plus). Experience working with cross-functional teams to solve complex data architecture and engineering problems. Proficient in SQL and relational database technologies/concepts. Experience working with data models and query tuning. #J-18808-Ljbffr