Data Engineer — Scalable Pipelines & Cloud (3+ yrs)

RAPSYS TECHNOLOGIES PTE LTD; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE LTD in Singapore is seeking a talented Data Engineer to join our team. You will design, build, and maintain scalable data pipelines, collaborating with cross-functional teams to integrate diverse data sources and optimize performance across our data infrastructure.

The role emphasizes ETL best practices, data integrity, and enabling analytics and BI teams with reliable data solutions. A strong focus on security and compliance will be expected in daily activities.

Qualifications

• Minimum 3 years of experience as a Data Engineer or similar role.
• Proficiency in SQL, Python, or other relevant programming languages.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Strong understanding of ETL concepts and best practices.
• Excellent problem-solving skills and attention to detail.

Responsibilities

• Design, build, and maintain robust data pipelines
• Collaborate with cross-functional teams to integrate data sources
• Optimize database performance and ensure data integrity
• Implement ETL processes for efficient data flow
• Ensure security and compliance of all managed datasets
• Support analytics and BI teams with reliable data solutions

Skills

SQL

Python

Cloud platforms

ETL concepts

Problem solving

Job description

RAPSYS TECHNOLOGIES PTE LTD in Singapore is seeking a talented Data Engineer to join our team. You will design, build, and maintain scalable data pipelines, collaborating with cross-functional teams to integrate diverse data sources and optimize performance across our data infrastructure.

The role emphasizes ETL best practices, data integrity, and enabling analytics and BI teams with reliable data solutions. A strong focus on security and compliance will be expected in daily activities.