Data Engineer (Singapore) — On-site, Build Scalable Pipelines

Tap Growth ai; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Tap Growth ai in Singapore is seeking a Data Engineer to design, build, and maintain scalable data pipelines that power data-driven decision making across the organization. The role emphasizes hands-on work with data infrastructure, ensuring robust data flow and quality.

You will collaborate with cross-functional teams to integrate diverse data sources, optimize databases, implement ETL processes, and ensure security and governance of all datasets. This is an in-office role based in Singapore.

Qualifications

• 3+ years of experience as a Data Engineer or similar role.
• Proficiency in SQL, Python, and data tooling.
• Experience with AWS, GCP, or Azure.
• Strong ETL understanding and data integration.
• Ability to design robust data pipelines and ensure data quality.

Responsibilities

• Design, build, and maintain 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 datasets.
• Support analytics and BI teams with reliable data solutions.

Skills

SQL

Python

Data Pipelines

ETL

Cloud Platforms

Job description

Tap Growth ai in Singapore is seeking a Data Engineer to design, build, and maintain scalable data pipelines that power data-driven decision making across the organization. The role emphasizes hands-on work with data infrastructure, ensuring robust data flow and quality.

You will collaborate with cross-functional teams to integrate diverse data sources, optimize databases, implement ETL processes, and ensure security and governance of all datasets. This is an in-office role based in Singapore.