GE Aerospace is looking to solve cybersecurity challenges by leveraging data-driven solutions and advanced analytics to identify, mitigate, and respond to cyber threats effectively.
Requirements
- Minimum of 5 years of professional experience in data engineering.
- Handle multiple projects across various data domains, ensuring timely delivery and quality standards.
- Gather requirements, design, and implement scalable data pipelines capable of processing large volumes of cybersecurity data.
- Develop and maintain data models, schemas, and architectures to support analytics and reporting functions.
- Ensure data quality, integrity, and security throughout the entire data lifecycle.
- Develop and maintain an integrated data architecture that spans relational and non-relational data sources.
- Manage ETL frameworks, ensuring data ingestion and transformation jobs are timely, accurate, and compliant with security standards.
Responsibilities
- Gather requirements, design, and implement scalable data pipelines capable of processing large volumes of cybersecurity data.
- Develop and maintain data models, schemas, and architectures to support analytics and reporting functions.
- Ensure data quality, integrity, and security throughout the entire data lifecycle.
- Collaborate with data analytics and visualization teams to design dashboards, reports, and visualizations that communicate insights effectively to stakeholders.
- Develop and maintain an integrated data architecture that spans relational and non-relational data sources.
- Manage ETL frameworks, ensuring data ingestion and transformation jobs are timely, accurate, and compliant with security standards.
- Lead initiatives to build and enforce Data Quality rules and standards.
Other
- Minimum of 5 years of professional experience, or Associates degree with at least 8 years of professional experience, or High School Diploma with a minimum of 10 years of professional experience.
- Military experience is considered equivalent to professional experience.
- Legal authorization to work in the U.S. (no sponsorship provided).
- Collaboration across cybersecurity, IT, and business units is essential to align data strategies with organizational security and operational goals.
- Opportunities to work remotely in a flexible environment.
