Senior Data Engineer II

4 days ago

Singapur, Singapore Razer (Asia-Pacific) Pte. 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 diverse, worldwide team. Razer is also a great place to work , providing a unique, gamer-centric #LifeAtRazer experience that fosters both personal and professional growth.

Job Responsibilities :

We are seeking a Senior Data Engineer to lead AI Data Engineering initiatives, focusing on building scalable, high-performance data pipelines for AI and machine learning applications. Responsibilities include designing, optimizing, and managing data infrastructure to support model training, feature engineering, and real-time inference. Collaboration with AI/ML engineers, data scientists, and platform teams is essential to develop next-generation AI-driven products.

Essential Duties and Responsibilities
  • Lead AI Data Engineering initiatives by designing and developing robust data pipelines for AI/ML workloads, ensuring efficiency, scalability, and reliability.
  • Design data architectures supporting 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 for various AI applications.
  • Implement best practices for data quality, lineage, security, and compliance for AI applications.
  • Develop automated data workflows, integrate with DevOps and MLOps frameworks, and enable model reproducibility through efficient data management.
  • Explore advancements in AI data engineering, including distributed computing, data mesh architectures, and next-gen storage solutions.
  • Collaborate closely with data scientists and AI/ML engineers to optimize feature extraction, data labeling, and real-time inference pipelines.
Pre-Requisites :

Qualifications

  • Experience with Vector/Graph databases such as Neo4j.
  • 3+ years in data engineering, especially with AI/ML-driven data architectures.
  • Ability to work in a fast-paced, high-pressure, agile environment.
  • Willingness to learn new technologies and apply them effectively.
  • Strong programming skills in Python and SQL.
  • Experience deploying applications on cloud infrastructure (AWS, Azure, GCP) using tools like Terraform, Docker, 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), data storage management (Data Lake, Lake House, SQL, NoSQL).
  • Experience with network infrastructure and real-time AI inference pipelines using event-driven architectures.
  • Excellent problem-solving, analytical skills, and understanding of Gen AI technologies.
  • Strong communication skills for cross-team coordination.
  • Interest in continuous learning within the Data Engineering field.

Education & Experience

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

Travel Requirements

  • Based in Singapore with up to 1 trip per year.

Are you game?

At Razer, you'll be at the forefront of the gaming industry, developing innovative hardware, software, and services. Join us to bring gamers closer to the games they love. Razer offers a global team environment across 11 countries, where every role contributes to our mission: For Gamers. By Gamers.

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