Data Engineer - Max Budget SGD 8K

RAPSYS TECHNOLOGIES PTE LTD; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE LTD in Singapore is seeking a skilled Data Engineer to design, build, and maintain scalable data solutions that power business insights. You will work with cross-functional teams to enable data-driven decisions and ensure robust data infrastructure.

Responsibilities include designing data pipelines, optimizing ETL processes, integrating sources, and upholding data quality, security, and documentation.

Qualifications

• 3+ years of experience in data engineering.
• Proficient in SQL and Python.
• Experience with cloud platforms (AWS, GCP or Azure).
• Familiar with ETL frameworks and big data tools.
• Strong analytical and problem-solving skills.
• Ability to work in an office environment in Singapore.

Responsibilities

• Design, develop, and maintain robust data pipelines
• Optimize ETL processes for performance and reliability
• Collaborate with analytics teams to deliver actionable insights
• Integrate data from multiple sources into unified platforms
• Ensure data quality, integrity, and security standards
• Troubleshoot issues and implement effective solutions
• Document workflows and best practices

Skills

SQL

Python

Analytical thinking

Problem solving

Team collaboration

Tools

AWS

GCP

Azure

ETL frameworks

Big data tools

Job description

We are seeking a skilled and driven Data Engineer to join our team in Singapore. If you have a passion for designing, building, and maintaining scalable data solutions that power business insights, this role is for you. Join us to leverage your expertise and help shape the future of data-driven decisions.

What You'll Do:

• Design, develop, and maintain robust data pipelines
• Optimize ETL processes for performance and reliability
• Collaborate with analytics teams to deliver actionable insights
• Integrate data from multiple sources into unified platforms
• Ensure data quality, integrity, and security standards
• Troubleshoot issues and implement effective solutions
• Document workflows and best practices

What We’re Looking For:

• Minimum 3 years of relevant experience in data engineering
• Proficiency in SQL, Python, or related programming languages
• Experience with cloud platforms (AWS/GCP/Azure)
• Strong understanding of ETL frameworks and big data tools
• Excellent analytical and problem-solving skills
• Ability to work collaboratively in an office environment