AI Data Engineer Intern
Job Summary
Job Description
This AI Data Engineer Intern role at Razer involves designing and building high-volume backend data processing systems for AI gaming products. The intern will develop and implement data pipelines, data storage systems, and backend application software. This position requires close collaboration with frontend engineers, data scientists, and machine learning engineers to enable Generative AI capabilities, contributing to Razer's mission to revolutionize gaming and foster professional growth.
Must have:
- Design and implement data systems for large volume data storage, processing, and analysis.
- Develop scalable data pipelines supporting Generative AI capabilities.
- Manage data lakes, knowledge bases, and application databases.
- Create and manage table schemas, views, and materialized views, including Gen AI tokenization.
- Develop and templatize data pipelines for high-volume ETL from various sources.
- Design, develop, and maintain performant, scalable, and robust backend systems.
- Optimize backend infrastructure for evolving product requirements.
- Collaborate with data scientists and ML engineers on data needs and solutions.
Good to have:
- Experience with orchestration tools like Airflow or Prefect.
Perks:
- Opportunity to revolutionize the way the world games.
- Make an impact globally.
- Work across a global team located across 5 continents.
- Unique, gamer-centric #LifeAtRazer experience.
- Accelerated personal and professional growth.
- Certified as a Great Place to Work® in both United States and Singapore.
11 skills required
Job Details
Job Responsibilities :
This role is required to design and build high volume backend data processing systems for Razer’s Artificial Intelligence (AI) gaming products. The intern is responsible for developing and implementing data pipelines, data storage systems, and backend application software, while working closely with frontend engineers, data scientists, and machine learning engineers to enable Gen AI capabilities.
Essential Duties and Responsibilities
- Design and implement data systems that enable the organization to store, process, and analyze large volumes of data. This involves developing data pipelines, designing scalable data processing systems in support of Gen AI capabilities.
- Manage data lakes, knowledge bases, and application databases. This involves creating and managing table schemas, views, materialized views, including tokenization techniques for Gen AI.
- Develop and templatize data pipelines that enable high volume extract, transform, and load operations from various sources – particularly API-based or web-based data ingestion.
- Design, develop, and maintain highly performant, scalable, and robust backend systems and server side logic - including maintenance and optimization of backend infrastructure for changing product requirements.
- Collaborate with data scientists and machine learning engineers to understand the data needs of various stakeholders across the organization and integrate appropriate solutions.
Requirements
- Ability to work in fast paced, high pressure, agile environment.
- Ability and willingness to learn and apply new technologies
- Strong in programming languages such as Python, SQL.
- Experience in developing and deploying applications running on cloud infrastructure such as AWS, Azure or Google Cloud Platform using Infrastructure as code tools such as Terraform, containerization tools like Dockers.
- Familiarity with a wide variety and genres of video games and the gaming industry in general.
- Excellent with various data processing techniques (streaming, batch, event-based), managing and optimizing data storage (Data Lake, Vector Data Stores and Database, SQL, and NoSQL) is essential.
- Excellent problem-solving and analytical skills, with an understanding of Gen AI technologies and their applications
- Experience using orchestration tools like Airflow or Prefect is preferred
- Excellent written and verbal communication skills.
- Experience and Interest to keep up with the advancement in the AI/ Data Engineering Field
- Has a Bachelor's or Master’s degree in computer science or similar technical discipline.
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About The Company
At Razer, you'll be at the forefront of the most exciting industry in the world — gaming. Evolving forms of gaming require evolving forms of hardware, software and services. That’s where Razer comes in, offering innovative top-of-the-line products and services to allow gamers to fully immerse in the ultimate gaming experience.Getting onboard Razer will place you on a global mission to bring gamers closer to the games they love. Razer is a place to do great work, offering you the opportunity to be a part of a global team across 11 countries. Whether you are a hardcore evangelist who breathe life to the latest and greatest gaming gear or a behind-the-scene hero who runs our global operations, you are assured of a career-changing quest that transcends time zones and culture with one single spell: For Gamers. By Gamers.The journey towards phenomenal-ness won’t come easy. However, we will excel because gamers rely on teamwork. We achieve greatness because we are wicked problem-solvers and tenacious in clinching victories in all that we do. It is the team that makes Razer where it is today and will continue to bring Razer to even greater heights.
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