Data Engineer: Industrial AI Data Infrastructure

INNOWAVE TECH PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

INNOWAVE TECH PTE. LTD. in Singapore is seeking a Data Engineer to establish and lead data infrastructure. This role involves building data systems for AI applications in semiconductor manufacturing.

The successful candidate will develop ETL pipelines, manage datasets, and embed best practices in data governance and security. Applicants must hold a relevant degree and have at least 3 years of experience in data engineering.

Qualifications

• 3+ years of experience in data engineering roles.
• Proven track record of building scalable data systems.
• Familiarity with AI/ML data systems.

Responsibilities

• Build robust pipelines to collect and transform diverse datasets.
• Ensure secure and scalable deployment of data infrastructure.
• Define and enforce best practices in data governance.

Skills

Data pipeline development

ETL frameworks

SQL and NoSQL databases

Python and/or Java

Containerization (Docker)

CI/CD practices

Excellent communication skills

Problem-solving and debugging

Education

Minimum Poly or Bachelor Degree in Computer Science, Engineering, or a related field

Tools

Apache Airflow

Kafka

Data lakes

Data catalog

Docker

Git

Job description

INNOWAVE TECH PTE. LTD. in Singapore is seeking a Data Engineer to establish and lead data infrastructure. This role involves building data systems for AI applications in semiconductor manufacturing.

The successful candidate will develop ETL pipelines, manage datasets, and embed best practices in data governance and security. Applicants must hold a relevant degree and have at least 3 years of experience in data engineering.