Razer is seeking a mid/senior Data Engineer to develop AI-driven data pipelines and infrastructure in their Singapore office. The ideal candidate will have extensive experience in data engineering, especially in AI/ML applications, and will thrive in a fast-paced environment
Job Summary
Join Razer on a global mission to revolutionize the way the world games, offering the opportunity to make an impact globally.
Lead AI Data Engineering initiatives by driving the design and development of robust data pipelines for AI/ML workloads, ensuring efficiency, scalability, and reliability.
Design and implement data architectures that support AI model training, including feature stores, vector databases, and real-time streaming solutions.
Matching Summary
Match Score: 85
Razer is seeking a mid/senior Data Engineer to develop AI-driven data pipelines and infrastructure in their Singapore office. The ideal candidate will have extensive experience in data engineering, especially in AI/ML applications, and will thrive in a fast-paced environment.
Skills & Requirements
Must-have
AI/ML data pipelines
feature stores
vector databases
real-time streaming
data quality and lineage
DevOps and MLOps integration
Python and SQL programming
cloud infrastructure (AWS, Azure, GCP)
Terraform and Docker
Kubernetes orchestration
Airflow or Prefect
Spark or Dask
Data Build Tool (DBT)
streaming and batch processing
Data Lake, Lake House, SQL, NoSQL
Gen AI technologies
Nice-to-have
accelerated growth opportunities
gamer-centric culture
global team collaboration
distributed computing advancements
data mesh architectures
Key Requirements
3+ years of experience in data engineering
Experience with Vector/Graph; Neo4j
Bachelor’s or Master’s degree in computer science, Data Engineering, AI/ML, or related field
Ability to work in fast-paced, high-pressure, agile environment