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Designs and maintains end-to-end ETL pipelines, dashboards, and Smart Factory web applications using Python, SQL, Power BI, Angular, and Docker. Enhances data reliability and performance, builds AI chatbots and automation workflows, supports APIs and semiconductor standards, performs system troubleshooting, conducts user training, and delivers clear documentation with strong UI/UX focus.
Roles and responsibilities include:
Continuously enhance ETL reliability, performance, and data quality
Develop and maintain end-to-end ETL pipelines (log ingestion, PL/SQL database automation, visualization, and reporting)
Design and build dynamic dashboards and reports using Power BI or other visualization tools
Perform coding and development using Python and SQL (additional languages are an advantage)
Build AI chatbots and implement automation workflows
Deploy and manage applications using Docker Engine in Linux environments
Maintain and enhance the Smart Factory website (Angular & TypeScript)
Develop and integrate web APIs (RESTful, SOAP)
Support semiconductor communication standards (SECS/GEM & non-SECS/GEM)
Troubleshoot third-party applications, systems, and hardware issues
Apply UI/UX best practices to present backend data clearly and effectively
Perform video editing when required
Conduct user training and prepare clear technical documentation
Support MES-related processes (advantageous)
Utilize FlexSim simulation software when required (advantageous)
Manage multiple tasks effectively with strong prioritization skills
Job ID: 143709775