Data Engineer
Core
Building, scaling, and operationalizing AI-driven diagnostics, observability, and predictive maintenance solutions to reduce diagnostic labor hours and improve system availability.
Role type
Senior Data Engineer with AI/ML ownership
Builds
Scalable, cloud-native data pipelines and production ML models for predictive maintenance and fault detection
Domain
Semiconductor manufacturing diagnostics and industrial IoT
Deliverable
production ML models | data pipelines
Required skills
Python, machine learning, deep learning, cloud data platforms (Azure, Databricks, Spark, Kusto), SQL/ETL, statistics, SPC/FDC concepts, large-scale data stream processing
Preferred skills
Diagnostics domain knowledge, manufacturing equipment data experience, observability improvement, predictive maintenance in complex systems
Technologies
Azure, Databricks, Spark, Kusto, Python, PERL, Bash, Power Shell
Responsibilities
Design and deploy ML models for predictive maintenance and fault detection; build scalable data pipelines for machine data ingestion; define data requirements and translate diagnostic needs into technical solutions; ensure data quality, traceability, and compliance; communicate technical outcomes to senior stakeholders
Seniority
Senior, hands-on IC