Senior Data Engineer

5 days ago

Queenstown, Singapore Razer USA Ltd Full time

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.

**Responsibilities**:

- 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 automated data workflows, integrate with DevOps, MLOps frameworks, and enable model reproducibility through efficient data management.
- Continuously explore advancements in AI data engineering, including distributed computing, data mesh architectures, and next-gen storage solution that best fit the various AI initiatives
- Work closely with data scientists and AI/ML engineers to optimize feature extraction, data labeling, and real-time inference pipelines

**Pre-Requisites**:

- Hands on experience working with Vector/Graph;Neo4j
- 3+ years of experience in data engineering, working on AI/ML-driven data architectures
- Ability to work in fast paced, high pressure, agile environment.
- Strong in programming languages such as Python, SQL.
- 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.
- Experience in network infrastructure, real-time AI inferencing pipelines using event-driven architectures
- Excellent written and verbal communication skills for coordinating across teams.
- Experience and Interest to keep up with the advancement in the Data Engineering Field

**Education & Experience**
- Has a Bachelor’s or Master’s degree in computer science, Data Engineering, AI/ML, or a related field from an accredited institution

**Travel Requirements**
- Role based in Singapore office and may require up to 1 travel trip per year

**Are you game?

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