Data & Application Engineer – SPC & SPACE Solutions
3+ years of IT-relevant work experience with a Bachelor's degree. OR 5+ years of IT-relevant work experience without a Bachelor's degree. Degree in Computer Science, Information Technology, Data Engineering/Analytics, Engineering, or a related field o Data Engineering & Integration (ETL Services+Tools, Databases, SQL/NSQL) o Data structures (e.g. XML & XSLT, JSON, YAML) o One Programming language (e.g. Python, Rust, Java, C++, C#) Experience with SPC tools/software (camLine, JMP, SAS,...) desireable Knowledge of SPC methods e.g. statistical methods for production control, control charts, actions plan desireable. Strong communication skills, team orientation, and ability to work independently Proficiency in English, both written and spoken Provide consulting and analysis of business requirements, processes, and system gaps in the SPACE and eCAP domains. Design and optimize scalable data pipelines and ETL processes. Build and maintain efficient data architectures and infrastructures. Collaborate closely with Functional Architects, and Engineers to deliver high performance data solutions. Develop and enhance user documentation and training materials. Lead technical aspects of projects, business cases, and proof of concepts (POCs). Monitor and introduce new technologies and industry trends in the SPC and Data Engineering domains Ensure data quality and validation through appropriate services and tools
