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FPT Asia Pacific Pte Ltd

M13 - Data Engineer

FPT Asia Pacific Pte Ltd Singapore, Singapore

IT Services and IT Consulting · 10,001+ employees

2 d ago
data-engineer Senior (5-10 yrs) Full-time Singapore
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About the role

Design, build, and maintain robust data pipelines and infrastructure using AWS services like Glue, Redshift, and S3. Collaborate with the IT department to implement CI/CD workflows, monitor system health, and ensure data quality through automated testing.

What they look for

Data Engineering AWS Glue Python SQL AWS Redshift ETL/ELT Data Pipelines CI/CD GitLab Terraform CloudFormation Shell Scripting Data Modeling Database Design AWS Lambda Infrastructure as Code

Requirements

Requires a strong background in data engineering with proficiency in Python, SQL, and shell scripting. Candidates must have extensive experience with AWS data services, CI/CD pipelines, and Infrastructure as Code practices.

Full description

Responsibilities

Data Pipeline Development & Management

  • 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

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