Data Engineer

Applied Materials

Singapore, Singapore
Design, build, and maintain data pipelines
Etl/elt processes using databricks, spark
Cloud-based data platforms (azure)
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

  • Design, build, and maintain data pipelines
  • ETL/ELT processes using Databricks, Spark
  • Cloud-based data platforms (Azure)
  • SQL, Python, distributed data processing
  • Data quality, versioning, and lineage

Nice-to-have

  • Support AI/ML model deployment
  • Collaborate with data scientists
  • Translate business requirements
  • Contribute to data services and APIs
  • Fast-paced, collaborative environment

Key Requirements

  • 7-10 years of expertise
  • Masters Degree in Data Science, Computing, AI/ Analytics
  • Experience with LLM and Agentic AI
  • Familiarity with MLOps tools and practices
  • Experience working with AI/ML frameworks

Work Rights

Not specified

Tailored Resume

Cover Letter