Data Engineer - Max Budget SGD 8K

Rapsys Technologies Pte Ltd.; Singapore; On-site; SGD 81,000 - 97,000; Full time

Benefits offered by this job

Work from Office

Job summary

Rapsys Technologies Pte Ltd. in Singapore is seeking a Data Engineer to design and maintain scalable data pipelines, optimize ETL, and partner with analytics teams to derive insights.

The role requires at least 3 years of data engineering experience, proficiency in SQL and Python, cloud experience, and a collaborative, office-based work environment.

Qualifications

• 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.

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

Cloud platforms

ETL frameworks

Big data tools

Analytical thinking

Collaborative work

Job description

We're Hiring: Data Engineer!

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.

Location: Singapore, Singapore

Work Mode: Work from Office

Role: Data Engineer - Max Budget SGD 8K

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