Talent.com
This job offer is not available in your country.
Data Engineer (Intern)

Data Engineer (Intern)

RazerSingapore
19 days ago
Job description

Job Responsibilities :

The Data Engineer Intern will be involved in developing and implementing data pipelines, data storage systems, and backend application software to support Razer's AI Gaming Products.

Job Scope

You will be responsible for developing and implementing data pipelines, storage systems, and backend application software to power GenAI capabilities. This includes designing and building high-volume backend data processing systems that support Razer’s cutting-edge Artificial Intelligence (AI) gaming products.

Job Responsibilities

Design and build data systems to store, process, and analyze large-scale data for GenAI use cases, following industry best practices in Data Warehousing.

Manage data lakes, databases, and knowledge bases, including SQL schema design, tokenization techniques

Create and template robust data pipelines for high-volume ETL from API and web sources, with orchestration using Airflow and infrastructure deployment via Terraform.

Develop and maintain scalable, high-performance backend systems to support evolving product needs, using AWS cloud technologies and CI / CD practices for seamless code integration and deployment.

Collaborate with stakeholders to gather technical requirements and translate them into end-to-end data pipeline solutions.

Pre-Requisites

Currently pursuing a degree in Computer Science or any related field, with a strong interest in Data Engineering and Analytics.

Experience working with Retrieval-Augmented Generation (RAG) for LLM applications

Strong knowledge of data engineering, with proficiency in Python, SQL, and API-based data services

Skilled in system design and building scalable, high-concurrency applications

Hands-on experience with data processing techniques (streaming, batch, event-driven) and optimizing data storage solutions (Data Lakes, Vector Databases, SQL / NoSQL)

Proficient in deploying applications on cloud platforms (AWS, Azure, GCP) using Infrastructure as Code (e.g., Terraform), Docker, and Kubernetes

Familiar with cloud-native tools and services from AWS or GCP

Creative, self-driven, and able to work independently in an agile environment

Pre-Requisites : Are you game?

Create a job alert for this search

Data Engineer • Singapore