Data Engineer

Applied Materials

Singapore, Singapore
Design, build, and maintain data pipelines
Etl/elt processes using databricks, spark
Data quality, versioning, and lineage
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 a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world.

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
  • Data quality, versioning, and lineage
  • Cloud-based data platforms (Azure)
  • SQL, Python, distributed data processing

Nice-to-have

  • Supportive work culture
  • Learn, develop, and grow career
  • Push the boundaries of what is possible
  • Care for health and wellbeing
  • Creative and precise problem-solving

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