Applied Materials, Inc. is seeking a data engineering professional to design and optimize ETL/ELT pipelines using Python, SQL, and PySpark. You will build analytics-ready datasets on cloud platforms, perform data analysis, and support AI-driven initiatives across the global logistics domain.
The role collaborates with Data Engineers, Data Scientists, and business stakeholders to deliver data-driven solutions, ensuring data quality and operational excellence in a fast-paced environment.
#J-18808-LjbffrLogistics Data Scientist & AI-Driven Analytics in austin at Unknown Company
This position is listed as full time and onsite.