Bachelor's degree in Computer Science, Data, or related field - fresh graduates welcome
Strong fundamentals in Python and SQL
Solid problem-solving ability and willingness to learn
Strong adaptability and curiosity for new technologies - our stack and tooling evolve quickly
Comfortable using AI development tools (Copilot, Claude, etc.) and understanding their limits
Good written and spoken English; ability to collaborate with regional stakeholders
Basic Linux and Git
Exposure to AWS (S3, Redshift, Glue, EC2 basics)
Familiarity with Airflow, dbt, or similar orchestration / transformation frameworks
Prior internship or project experience with ETL, data pipelines, or analytics
Gaming, fintech, or e-commerce domain interest
Pre-Requisites :
Are you game?
Additional Information
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities :
Join Razer's Data Engineering team to design, build, and operate the data pipelines and platforms that power analytics, business reporting, and emerging AI/ML use cases. You'll work with modern cloud-native data tools to deliver reliable, well-governed data to teams across the company. Ideal for an engineer who learns quickly, adapts to new technologies (including AI-assisted development), and enjoys solving real-world data and infrastructure problems. Key Responsibilities
- Design, develop, and maintain batch and basic real-time data pipelines
- Build and migrate data pipelines from legacy systems onto modern cloud-native data platforms
- Construct and operate AIOps-related pipelines
- Build and optimize data warehouse / data lake solutions
- Apply data governance and quality practices
- Collaborate with regional stakeholders; support production operations
- Build and maintain integrations that enable AI and self-service tools to securely access governed data
- Use AI-assisted development tools responsibly