About Our Client
Our Client is a leading technology and telecommunications company headquartered in Singapore. They empower businesses through advanced analytics, scalable infrastructures, and seamless digital experiences, with a strong commitment to innovation and delivering AI-powered, cloud-based solutions.
Role Overview
We are seeking a seasoned
Lead Full Stack Data Engineer
for a
2-year contract
based in Malaysia, collaborating closely with the Singapore team. The ideal candidate is an experienced full-stack developer with strong data engineering expertise to design, develop, and deploy AI-enabled products on the cloud.
Key Responsibilities
- Architect and develop full-stack applications using modern JS / TS frameworks , React, Vue, Angular).
- Design server-side APIs and microservices with frameworks like or Express.
- Build and optimize ETL / ELT data pipelines using PySpark and Airflow for relational and document databases.
- Integrate real-time data streams (Kafka, Kinesis) and ML / analytics endpoints.
- Develop scalable storage solutions with efficient query tuning and indexing.
- Implement CI / CD pipelines (GitLab CI / CD), containerize apps (Docker), and orchestrate deployments (Kubernetes / ECS Fargate).
- Collaborate on cloud infrastructure provisioning with Terraform / CloudFormation and manage secrets (AWS Secrets Manager).
- Create interactive dashboards and real-time visualizations , ECharts, Recharts).
- Mentor junior engineers, conduct code reviews, and promote best practices.
- Work cross-functionally to refine requirements, automate testing, and ensure security.
Key Requirements
Bachelor's / Master's in CS, Software Engineering, Data Science, or related.6+ years as a Full Stack Developer with a strong data engineering background.Proficient in , React, Vue, or Angular with SSR experience.Skilled in ) and REST / GraphQL API design.Experience with PySpark and Airflow ETL / ELT pipelines.Strong data modeling in PostgreSQL, Redshift, and MongoDB.Familiarity with real-time streams (Kafka, Kinesis) and ML / analytics APIs.Expertise in storage optimization, indexing, and materialized views.CI / CD, Docker, Kubernetes, Terraform / CloudFormation, and AWS services (S3, EMR, Redshift).Testing skills with Jest, Mocha, pytest, Cypress, or Playwright.Problem-solver with mentoring and cross-team collaboration skills.Willing to travel 10-30%.