Senior Data Engineer

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Company Overview

This global gaming company is on a mission to revolutionize the way the world games. It offers an opportunity to make a global impact while collaborating with a diverse team spanning five continents. The company fosters a unique, gamer-centric culture, providing an environment for accelerated personal and professional growth.

Senior Data Engineer

Job Description:

We are seeking a Senior Data Engineer to spearhead technical initiatives in 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. The successful candidate will collaborate closely with AI/ML engineers, data scientists, and platform teams to build the next generation of AI-driven products.

Essential Duties and 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 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

Qualifications

• 3+ years of experience in data engineering, working on AI/ML-driven data architectures.
• Ability to work in a fast-paced, high-pressure, agile environment.
• Ability and willingness to learn new technologies and apply them at work to stay ahead.
• Strong proficiency in programming languages such as Python and SQL.
• Experience in developing and deploying applications running on cloud infrastructure such as AWS, Azure, or Google Cloud Platform using Infrastructure as Code tools such as Terraform, containerization tools like Docker, and container orchestration platforms like Kubernetes.
• Experience using orchestration tools like Airflow or Prefect, distributed computing frameworks like Spark or Dask, and data transformation tools like Data Build Tool (DBT).
• Excellent understanding of various data processing techniques (both streaming and batch), and managing and optimizing data storage (Data Lake, Lake House, and Databases, both SQL and NoSQL).
• Experience in network infrastructure and real-time AI inferencing pipelines using event-driven architectures.
• Excellent problem-solving and analytical skills, with an understanding of Gen AI technologies and their applications.
• Excellent written and verbal communication skills for coordinating across teams.
• Experience and interest in keeping up with advancements 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 and may require up to 1 travel trip per year.

Disclaimer

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