About the role
AI summarisedData & Application Engineer at Qualcomm, responsible for developing and optimizing SPC and SPACE system landscape, designing data pipelines, and collaborating with stakeholders to deliver data solutions.
FablessFull-timeSystems Analysis
Key Responsibilities
- 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
Requirements
- Degree in Computer Science, Information Technology, Data Engineering/Analytics, Engineering, or a related field
- Strong expertise in Data Engineering & Integration (ETL Services+Tools, Databases, SQL/NSQL)
- Strong expertise in Data structures (e.g. XML & XSLT, JSON, YAML)
- Strong expertise in One Programming language (e.g. Python, Rust, Java, C++, C#)
- Knowledge of system architecture and interface development
- 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