Data Engineer: Build Scalable Data Pipelines in Singapore

Rapsys Technologies Pte Ltd.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Rapsys Technologies Pte Ltd. in Singapore is seeking a proactive Data Engineer to join our team. You will design, build, and maintain scalable data pipelines and infrastructure to enable data-driven decisions across the organization.

The role requires strong SQL and Python skills, experience with cloud platforms (AWS, GCP, or Azure), and a solid understanding of ETL concepts. You will collaborate with cross-functional teams and ensure data security and integrity in all datasets.

Qualifications

• 3+ years of experience as a Data Engineer or similar role
• Proficiency in SQL and Python
• Experience with cloud platforms (AWS, GCP, or Azure) and ETL concepts

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

Data pipelines

ETL concepts

Problem-solving

Tools

AWS

GCP

Azure

Job description

Rapsys Technologies Pte Ltd. in Singapore is seeking a proactive Data Engineer to join our team. You will design, build, and maintain scalable data pipelines and infrastructure to enable data-driven decisions across the organization.

The role requires strong SQL and Python skills, experience with cloud platforms (AWS, GCP, or Azure), and a solid understanding of ETL concepts. You will collaborate with cross-functional teams and ensure data security and integrity in all datasets.