The ideal candidate will possess the following qualities.
Data engineer to design, process for and build automation for test data analytics and data structure.
Engineer is also responsible for injecting domain knowledge into Knowledge Graph (graph database) and supporting execution of an analytic workflow modeled through a Knowledge Graph.
Minimum qualifications: • 5 years or more experience with the following languages: Python, Java Script, C#, Shell scripting • 2 years or more experience with databases PostgreSQL: querying (SQL), and data modeling. • 1 year or more experience with graph data models and graph databases • Experience with web development framework especially Rest API and ORM. • Semiconductor knowledge in Product and Test Engineering • Experience in developing data science solution for Hardware Engineering • Bachelor degree in Computer/Electrical Engineering, Math/Stats, Computer Science, or related field.
Preferred qualifications: • Experience with Power BI and Excel Dashboard development • Experience with Tibco Data Virtualization • Experience with Statistical Predictive Analytics and Machine Learning models • Experience building automation with Jira, Confluence, SharePoint • Experience with AWS Elastic Beanstalk, Aurora Serverless PostgreSQL + S3 + Glue + Athena + File gateway + IAM + Lambda. • Experience developing Data Warehouse and schema support • Experience with instrument control and data acquisition • Experience with LabVIEW, MATLAB • 5 years or more experience in developing data science solution for Hardware Engineering • Ability to be flexible/adaptable in exercising judgment in a dynamic environment and prioritize and manage tasks efficiently • Excellent communication skills, and the ability to work with stakeholders to provide technical solutions to business challenges • Bachelor and Master degree in Computer/Electrical Engineering, Math/Stats, Computer Science, or related field.