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Position Summary: This role serves as a data evangelist, focusing primarily on Data & ML Engineering with a robust understanding of Data Science and data analysis experience. The ideal candidate will be proficient in the Snowflake and Azure technology stacks, Qlik Visualization, DevOps processes, and ML ops processes. While knowledge of logistics is a plus, a willingness to learn the domain is essential.

• Build and manage Data & ML Engineering projects.
• Develop and maintain data/ML pipelines using Snowflake and Azure.
• Create and implement data visualizations using Qlik.
• Ensure seamless integration and deployment of models through DevOps and ML ops processes.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Advocate for data-driven decision-making across the...