M13 - Data Engineer at FPT Asia Pacific Pte Ltd

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Python, Shell Scripting, Aws Glue, Aws Redshift, Aws S3, Aws Lambda, Cloudwatch, Etl/elt, Ci/cd, Gitlab, IaC, Terraform, Cloudformation, Data Modeling, Performance Optimization

Industry

IT Services and IT Consulting

Description

Scope of Work: 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 Required Skills & Experience: 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

The role involves designing, building, and maintaining robust data pipelines using AWS Glue, implementing ETL/ELT processes, and optimizing data workflows for performance and scalability. Responsibilities also include managing AWS Redshift data warehouse operations, configuring data storage solutions, and supporting Infrastructure as Code deployment.