# Senior Data Engineer

**Company**: Razer
**Location**: Singapore
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://razer.wd3.myworkdayjobs.com/en-US/Careers/job/Singapore/Senior-Data-Engineer_JR2025005485?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4a7597fd-d7a

## Description

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.

## What you'll do

We are looking for a Senior Data Engineer to lead the technical initiatives for AI Data Engineering, enabling scalable, high-performance data pipelines that power AI and machine learning applications. This role will focus on architecting, optimizing, and managing data infrastructure to support AI model training, feature engineering, and real-time inference. You will collaborate closely with AI/ML engineers, data scientists, and platform teams to build the next generation of AI-driven products.

- 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.

- Develop high performance data pipelines that process structured, semi-structured, and unstructured data at scale, supporting the various AI applications

## What you need

- Hands on experience working with Vector/Graph;Neo4j

- 3+ years of experience in data engineering, working on AI/ML-driven data architectures

## Skills

### Required
- Hands on experience working with Vector/Graph;Neo4j
- 3+ years of experience in data engineering, working on AI/ML-driven data architectures

### Nice to have
- 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, container orchestration platforms like Kubernetes
- Experience using orchestration tools like Airflow or Prefect, distributed computing framework like Spark or Dask, data transformation tool like Data Build Tool (DBT)
- Excellent with various data processing techniques (both streaming and batch), managing and optimizing data storage (Data Lake, Lake House and Database, SQL, and NoSQL) is essential.

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Source: [Apply at razer.wd3.myworkdayjobs.com](https://razer.wd3.myworkdayjobs.com/en-US/Careers/job/Singapore/Senior-Data-Engineer_JR2025005485?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)