data engineer

2 days ago

Singapore VY SYSTEMS PTE. LTD. Full time $90,000 - $120,000 per year

Roles & Responsibilities

  • Select and manage on-premises technologies suitable for secure and efficient operations.

  • Build robust data pipelines to collect, clean, and transform diverse datasets — including process data, sensor data, image data, and human annotations.

  • Ensure secure, maintainable, and scalable deployment of data infrastructure.

  • Define and enforce best practices in data governance, privacy, and access control.

  • Collaborate effectively with cross-functional teams to deploy and maintain data systems.

  • Understand existing architecture and apply the latest technologies to enhance AI data platforms and data infrastructure.

  • *Educational Background*

  • Minimum Diploma (Polytechnic) or Bachelor's Degree in Computer Science, Engineering, or a related field.

*Technical Expertise*

  • Minimum 3+ years of experience in data engineering roles, ideally with on-premises or hybrid infrastructure.

  • Proven track record of building scalable data systems from the ground up, preferably in a startup environment.

  • Proficiency in Python and/or Java for data pipeline development.

  • Solid experience with ETL frameworks (e.g., Apache Airflow, Dagster) and streaming systems (e.g., Kafka).

  • Experience designing and maintaining SQL and NoSQL databases.

  • Hands-on experience in building and operating data lakes, data pipelines, and data warehouses, including data catalog management.

  • Strong understanding of modern data architecture and emerging technologies in AI data platforms.

  • Familiarity with containerization (Docker), version control (Git), and CI/CD practices.

*Soft Skills*

  1. Excellent communication skills and ability to collaborate with both technical and non-technical teams.

  2. Strong problem-solving and debugging abilities.

  3. Ability to balance engineering trade-offs while delivering scalable and maintainable solutions.

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