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Applied Materials

Data Engineer

Applied Materials
Equipment EngineeringSingapore,SGPOnsitePosted 1 month ago
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About the role

AI summarised

Join Applied Materials, a global leader in materials engineering solutions, to design and build scalable data pipelines that power AI/ML models and analytics for global supply chain and planning operations. You will translate complex business needs into robust technical data solutions.

EquipmentOnsite

Key Responsibilities

  • Design, build, and maintain scalable, reliable data pipelines to support AI/ML models and analytics in global supply chain and planning operations.
  • Collaborate with data scientists and AI engineers to prepare and transform structured and unstructured data for modeling and simulation.
  • Develop and optimize ETL/ELT processes using tools like Databricks, Spark.
  • Ensure data quality, versioning, and lineage across the ML lifecycle.
  • Support the deployment and monitoring of AI models in production environments.
  • Translate business requirements into technical solutions, working closely with cross-functional teams.
  • Contribute to the development of data services and APIs that power intelligent decision-making tools.

Requirements

  • 7-10 years of expertise in SQL, Python, and distributed data processing (e.g., Spark, PySpark).
  • Experience with cloud-based data platforms (Azure).
  • Masters Degree in Data Science, Computing, AI/ Analytics.
  • Experience with LLM and Agentic AI.
  • Understand the role of data in driving supply chain and planning decisions.
  • Able to align data engineering solutions with business KPIs and operational goals.