Design, build, and maintain scalable, reliable data pipelines to support AI/ML models and analytics in global supply chain and planning operations
Job Summary
Design, build, and maintain scalable, reliable data pipelines to support AI/ML models and analytics in global supply chain and planning operations.
You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers.
Applied Materials is committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go.
Matching Summary
Design, build, and maintain scalable, reliable data pipelines to support AI/ML models and analytics in global supply chain and planning operations.
Skills & Requirements
Must-have
Data pipeline design and maintenance
ETL/ELT processes
SQL and Python expertise
Distributed data processing (Spark)
Cloud-based data platforms (Azure)
Nice-to-have
Supportive work culture
Career development opportunities
Fast-paced, collaborative environment
Proactive problem-solving
Effective communication with stakeholders
Key Requirements
12-14 Years of strong experience in Data Architect roles
Experience with cloud-based data platforms (Azure)
Familiarity with MLOps tools and practices (e.g., MLflow)
Experience working with AI/ML frameworks (e.g., TensorFlow, PyTorch)