Become a pivotal part of supply chain data initiatives as a Data Engineer specializing in analytics solutions. Develop data pipelines, AI models, and insightful dashboards to enhance business performance.
In this role, you will collaborate with various teams to drive projects focused on cost productivity and pricing competitiveness. You’ll also maintain AI and machine learning models, ensuring they deliver value to business users while adhering to best documentation practices.
Key Responsibilities:
• Implement data projects for supply chain optimization
• Organize and manage data for seamless access
• Clean data and prepare it for advanced modeling
• Create impactful dashboards and reports
• Develop machine learning algorithms for problem-solving
Requirements:
• 3-5 years of relevant experience in data analysis
• Experience with Azure and Google Cloud tools
• Proficient in Python and SQL databases
• Familiar with natural language processing techniques
• Solid understanding of data engineering principles
Leverage your analytics and engineering skills to drive supply chain data initiatives effectively.
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Apply on Kit Job: kitjob.ca/job/2fsei8
📌 Data Engineer for Supply Chain Analytics (Toronto)
🏢 Celestica
📍 Toronto
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