We are looking for an Expert Data Engineer to join our Service Domain Data & Analytics team on a full-time permanent employment agreement.

Responsibilities

• Build and maintain distributed, high-performance data pipelines handling large volumes of structured and unstructured data in near real-time
• Design and implement end-to-end ML pipelines on AWS SageMaker, covering model evaluation, deployment, and monitoring
• Drive cloud migration initiatives from on-premise systems to AWS while ensuring seamless integration
• Lead communities of practice and mentor junior engineers in software engineering fundamentals and ML best practices
• Collaborate with cross-functional teams to deliver Customer 360 data products and AI-powered analytics solutions

Qualifications

• MLOps/SageMaker: 5+ years building, deploying, and scaling end-to-end ML pipelines on AWS SageMaker
• Python: 7+ years enterprise-l...