AI Data Engineer Intern
Skills
About the role
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 our Big Data team as an AI Data Engineer Intern and help power the data foundation behind advanced analytics and AI/ML solutions. This role sits at the intersection of data engineering, cloud infrastructure, and artificial intelligence.
You will collaborate closely with data engineers, data scientists, analytics engineers, and data product managers to design, optimize, and scale modern data pipelines that fuel AI models, business intelligence, and data-driven decision-making across the organization.
This internship offers hands-on experience with real production systems, modern data stack technologies, and to create AI-enabled workflows in a cloud-native environment.
Pre-requisites:
Strong interest in Data Engineering, Cloud Technologies and AI/ML applications
Proficiency in Python, SQL.
Exposure to cloud technologies (Amazon Web Services, Google Cloud Platform)
Exposure to orchestration tools (Airflow)
Exposure to business intelligence tool (Superset, PowerBI, Tableau)
Ability to work independently and collaboratively in a fast-paced environment.
Learning Objectives:
By the end of the internship, you will gain practical experience in building AI-ready data systems using industry best practices and modern data technologies.
Learning Outcomes:
Modern Data Warehousing & Lakehouse Architecture in the cloud (AWS)
Pipeline Design Patterns using ELT
Data transformation tools (DBT)
Infrastructure as Code (Terraform)
Workflow orchestration (Airflow)
CI/CD for Data Engineering
Spec driven development for data engineering
Performance Optimization & Data Quality Engineering
Documentation and communication of technical solutions
Collaboration with data engineers, analytics engineers, data analysts, data scientists
Pre-Requisites :
Are you game?
Questions about this role
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