Data Engineer: ETL, ML & Azure Analytics

PSA Corporation; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

PSA Corporation in Singapore is seeking a Data Engineer to design, develop, and maintain scalable data solutions for analytics and ML projects. You will build ETL/ELT pipelines, APIs, dashboards, and collaborate with data scientists and software engineers to deploy data products.

The role requires a degree in CS/CE and 2–3 years of experience in data or software engineering, with strong SQL/NoSQL skills, Python, and Azure data services.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering or related field.
• 2–3 years of experience in data engineering or software engineering with data warehousing, big data, cloud technologies and automation.
• Strong data analysis, data verification and problem-solving abilities.
• Analytical, meticulous, and a team player.
• Effective communication across teams.
• Ability to manage multiple tasks in a dynamic environment.
• Self-motivated and eager to learn new skills and technologies.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines, API endpoints, and data applications across cloud (Azure) and on-prem environments.
• Monitor and optimize data quality, performance, and availability.
• Create and optimize interactive dashboards to visualize business metrics.
• Implement CI/CD pipelines, automate deployments, and ensure scalability for data/ML solutions.
• Collaborate with Data Scientists and engineers to deploy ML/AI projects in production.

Skills

Data analysis

Problem solving

Team player

Communication skills

Multi-tasking

Self-motivated

Education

Bachelor's degree in Computer Science / Computer Engineering

Tools

MS SQL Server

NoSQL databases

Python

Flask

Power BI

Azure Data Factory

CI/CD (Azure DevOps)

Job description

PSA Corporation in Singapore is seeking a Data Engineer to design, develop, and maintain scalable data solutions for analytics and ML projects. You will build ETL/ELT pipelines, APIs, dashboards, and collaborate with data scientists and software engineers to deploy data products.

The role requires a degree in CS/CE and 2–3 years of experience in data or software engineering, with strong SQL/NoSQL skills, Python, and Azure data services.