Senior Data Engineer, Defect Quality & Systems
Core
Architect and optimize high-volume ETL/ELT pipelines and data quality systems for a 24/7 semiconductor manufacturing environment to support engineering and data science teams.
Role type
Senior Data Engineer (Manufacturing/Industrial)
Builds
Robust data pipelines, data quality workflows, and high-performance dashboards for factory decision-making.
Domain
Semiconductor manufacturing / Industrial IoT
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, ETL/ELT pipeline design, database schema design, data cleaning and normalization, real-time streaming architectures, performance tuning, root-cause analysis
Preferred skills
Semiconductor process terminology, big-data technologies, event-streaming architectures (Kafka/RabbitMQ), emerging data technologies research
Technologies
SQL, Python, Kafka, RabbitMQ, Tibco Spotfire, Tableau
Responsibilities
Design and monitor robust ETL/ELT pipelines ingesting massive data streams; implement advanced data cleaning and normalization workflows; partner with internal customers to identify data gaps and integrate new sources; create and maintain high-performance dashboards for business decisions; lead data initiatives from conceptualization to deployment; mentor junior team members in data engineering best practices
Seniority
Senior, hands-on IC with mentorship responsibilities
