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Lead Full Stack Data Engineer

Lead Full Stack Data Engineer

GRITKuala Lumpur, Kuala Lumpur, Malaysia
18 jam yang lalu
Penerangan pekerjaan

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%.
  • Buat amaran kerja untuk carian ini

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