Lead Full Stack Data Engineer

We seek a seasoned Full Stack developer with strong interest and hands-on data engineering skills to design, develop, and deploy AI-powered, cloud-based products. You will own frontend/backend development, database/schema design, data pipelines, and integrate user-facing features with data services, collaborating closely with data science and infrastructure teams to deliver production-grade solutions.

As a Lead Full Stack Data Engineer, you will:

• Architect & Build Full Stack Applications
• Design responsive UIs using , React, Vue, or Angular
• Implement server-side logic, REST/GraphQL APIs, and microservices with , , or Express
• Ensure seamless data flow, authentication (JWT/OAuth2), and caching (Redis)
• Design & Maintain Data Pipelines & Databases
  • Define data models for relational (PostgreSQL, Redshift) or document stores (MongoDB)
• Develop ETL/ELT pipelines (PySpark, Airflow) to load data into warehouses
• Implement scalable storage (tables, indexes, partitions, materialized views) and tune queries
• Integrate with Data Services & APIs
• Consume analytics/ML endpoints and real-time streams (Kafka, Kinesis)
• Implement efficient data-fetching on the frontend (pagination, caching, debouncing)
• Design endpoints serving aggregated or pre-processed data; manage API versioning/documentation (Swagger)
• Implement CI/CD & DevOps Collaboration
• Define CI/CD pipelines (GitLab CI/CD) for both applications and data workflows
• Containerize components with Docker; orchestrate with Kubernetes, Docker Compose, or ECS Fargate
• Collaborate on cloud provisioning (Terraform, CloudFormation) and manage secrets (AWS Secrets Manager)
• Develop Dashboards & Visualizations
• Build dynamic charts with , ECharts, or Recharts to surface key metrics
• Create real-time data displays using WebSockets or polling
• Implement frontend data validation (date pickers, filters, drill-downs)
• Mentorship & Collaboration
• Mentor junior engineers; conduct code reviews and share best practices
• Work with product, infra, delivery/sales specialist teams to refine requirements, automate tests, and enforce security standards

Qualifications

• Bachelor's or Master's in CS, Software Engineering, Data Science, or equivalent experience
• 6+ years as a Full Stack developer with demonstrable data engineering involvement
• Proficient in JS/TypeScript frameworks: , React, Vue, or Angular
• Strong Server-side Rendering ). experience with or Express; RESTful/GraphQL API design;
• ETL/ELT pipeline development (PySpark, Airflow) and data modeling for PostgreSQL, Redshift, or MongoDB
• Experience integrating real-time streams (Kafka, Kinesis) and consuming ML/analytics endpoints
• Define scalable storage (tables, indexes, partitions, materialized views) and perform query tuning (sort keys, distribution keys, vacuum)
• CI/CD pipeline creation (GitLab CI/CD) and containerization (Docker, Kubernetes)
• Infrastructure as Code: Terraform or CloudFormation; secret management (AWS Secrets Manager)
• Cloud experience (AWS) deploying full stack apps and data pipelines (S3, EMR, Redshift)
• Unit/integration testing (Jest, Mocha, pytest) and E2E testing (Cypress, Playwright)
• Strong problem-solving, attention to detail, and ability to mentor and collaborate cross-functionally

Nice to Have

• Familiarity with serverless architectures (AWS Lambda) and PWA principles
• Exposure to vector databases, data mesh or lakehouse architectures
• Participation in GenAI POCs (RAG pipelines, Agentic AI demos)
• Passion for UI/UX patterns, accessibility, and developer productivity
• Client-facing experience in data-driven or AI/ML projects
• Ability to travel 10–30%; This is a Malaysia-based role collaborating closely with Singapore team

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