Data Engineer

1 day ago


Singapur, Singapore Razer Inc. Full time

Job Overview Join Razer Inc. as a Data Engineer to build AI‑driven data pipelines that support model training, feature engineering, and real‑time inference. You will collaborate closely with AI/ML engineers, data scientists, and platform teams to deliver scalable, high‑performance solutions. Job Responsibilities Lead AI Data Engineering initiatives by designing and developing 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 to support 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. Continuously explore advancements in AI data engineering, including distributed computing, data mesh architectures, and next‑generation storage solutions that best fit AI initiatives. Work closely with data scientists and AI/ML engineers to optimize feature extraction, data labeling, and real‑time inference pipelines. Qualifications Hands‑on experience with graph or vector databases (e.g., Neo4j). 1+ year of experience in data engineering building AI/ML‑driven data architectures. Proficiency in programming languages such as Python and SQL. Experience with cloud infrastructure (AWS, Azure, GCP) and IaC tools like Terraform, Docker, Kubernetes. Familiarity with orchestration tools such as Airflow or Prefect, along with distributed computing frameworks like Spark or Dask. Experience using DBT and data transformation tools. Strong data processing skills (batch & streaming), data lake/lakehouse architecture, and NoSQL databases. Experience building real‑time AI inference pipelines and event‑driven architectures. Excellent problem‑solving, analytical, and communication skills. Interest in staying current with advancements in the data engineering field. Education Bachelor’s or Master’s degree in computer science, data engineering, AI/ML, or a related field. Other Details Role based in Singapore office; up to one travel trip per year. Full‑time, entry level. #J-18808-Ljbffr


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