M13 - Data Engineer

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

• 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

Data Infrastructure & Engineering (with IPOS IT Department)

• Manage and optimize AWS Redshift data warehouse operations
• Configure and maintain data storage solutions (AWS S3, data lakes)
• Implement data partitioning, indexing, and compression strategies
• Support Infrastructure as Code (IaC) for data infrastructure deployment

CI/CD & DevOps for Data (with AWS partners and IPOS IT Department)

• Develop and maintain CI/CD pipelines for data workflows using GitLab
• Implement automated testing for data pipelines and data quality
• Support version control and deployment strategies for data assets
• Configure AWS Lambda functions for data processing automation

Monitoring & Support (with IPOS IT Department)

• Set up monitoring and alerting for data pipeline health
• Provide technical support for data-related issues
• Collaborate with technical teams on data architecture requirements
• Optimize query performance and database operations

Documentation & Reporting (with IPOS IT Department)

• Document data pipeline architectures and technical specifications
• Maintain runbooks and operational procedures
• Conduct monthly progress meetings (1 hour) to report on system health
• Track engineering tasks through SHIP-HATS Jira
• Maintain technical documentation on SHIP-HATS Confluence

Requirements

• 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