Senior Data Engineer

4 days ago

Singapur, Singapore Razer Inc. 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.

Job Responsibilities :

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 various AI applications.
  • Implement best practices for data quality, lineage, security, and compliance for AI applications.
  • 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 solutions that best fit 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 databases such as Neo4j.
  • 3+ years of experience in data engineering, working on AI/ML-driven data architectures.
  • Ability to work in fast-paced, high-pressure, agile environments.
  • Willingness to learn new technologies and apply them at work to stay ahead.
  • Strong programming skills in Python and SQL.
  • Experience deploying applications on cloud platforms like AWS, Azure, or Google Cloud, using Infrastructure as Code tools such as Terraform, containerization with Docker, and orchestration with Kubernetes.
  • Experience with orchestration tools like Airflow or Prefect, distributed computing frameworks like Spark or Dask, and data transformation tools like DBT.
  • Proficiency in various data processing techniques (streaming and batch), managing data storage solutions (Data Lake, Lake House, SQL, NoSQL).
  • Experience with network infrastructure and real-time AI inference pipelines using event-driven architectures.
  • Excellent problem-solving and analytical skills, with an understanding of Gen AI technologies.
  • Strong communication skills for cross-team coordination.
  • Interest in keeping up with advancements in the Data Engineering field.

Education & Experience

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or a related field from an accredited institution.

Travel Requirements

  • Based in Singapore; may require up to 1 travel trip per year.

Are you game?

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