Senior Data Engineer

2 weeks ago

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?#J-18808-Ljbffr

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