Data Engineer, AWS Data Pipelines & Infra Mastery

FPT Asia Pacific; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

FPT Asia Pacific is seeking a data infrastructure and engineering professional to design, build, and optimize large-scale data pipelines across AWS services. You will work within the IPOS IT Department to ensure reliable ingestion, storage, and processing of data assets, using IaC and modern DevOps practices.

The role emphasizes monitoring, performance tuning, and collaboration with cross-functional teams to maintain data quality and architecture alignment.

Qualifications

• Strong background in data engineering and data pipeline development.
• Proficiency in SQL, Python, and shell scripting.
• Extensive experience with AWS data services (Redshift, S3, Glue, Lambda, CloudWatch).
• Data warehouse design and optimization experience.
• Strong CI/CD pipeline knowledge (GitLab preferred).
• Infrastructure as Code (IaC) experience (Terraform, CloudFormation).
• Knowledge of data modeling and database design principles.
• Strong troubleshooting and performance optimization skills.

Responsibilities

• Design, build, and maintain robust data pipelines using AWS Glue.
• Implement ETL/ELT processes for data ingestion from multiple sources.
• Optimize data workflows for performance and scalability.
• Monitor and troubleshoot data pipeline failures and performance issues.

Skills

SQL

Python

Shell scripting

AWS data services

Data warehouse design

CI/CD pipelines

GitLab

IaC

Terraform

CloudFormation

Data modeling

Troubleshooting

Tools

GitLab

Terraform

CloudFormation

Jira

Confluence

Job description

FPT Asia Pacific is seeking a data infrastructure and engineering professional to design, build, and optimize large-scale data pipelines across AWS services. You will work within the IPOS IT Department to ensure reliable ingestion, storage, and processing of data assets, using IaC and modern DevOps practices.

The role emphasizes monitoring, performance tuning, and collaboration with cross-functional teams to maintain data quality and architecture alignment.