Data Engineer (Magna)
On-siteTaipei, Taiwan, Taiwan
Job Summary
Design and build ELT pipelines, data models, and storage underpinning the core V3 platform. Implement data segregation, access control, and governance policies across multi-tenant workloads. Construct the wikification and knowledge-graph framework to structure unstructured data for agentic use, while leveraging AI to accelerate pipeline development and debugging. Collaborate with Backend, AI/LLM, and Security engineers to expose governed data safely. Requires a Bachelor's degree in CS or related fields, strong Python/SQL skills, and experience with data lakes or warehouses. This role focuses on designing infrastructure for simulation and agentic twin systems within Magna's global AI security platform.
Required Qualifications
- Bachelor's degree or higher in Computer Science, Data Engineering, or related fields
- Strong English communication skills
- Strong analytical and problem-solving skills
- Ability to reason about data governance and multi-tenant data isolation
- Comfort owning a system others build directly on top of
- Experience building ELT/ETL pipelines in production
- Experience with data modeling, data warehouses, or data lakes
- Proficiency in Python or SQL
- Familiarity with a data pipeline framework (Airflow, dbt, Spark, or similar)
- Experience with data governance, access control, or data segregation
- Understanding of knowledge graphs or graph databases
Desired Qualifications
- Experience with wikis, knowledge bases, or knowledge-graph construction
- Experience supporting AI/LLM or agentic systems with data pipelines
- Experience with simulation data or digital-twin systems
- Experience in enterprise software or cybersecurity products
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.