Integration Development Specialist(Full Stack & Data Integration Engineer)

Role Overview

We are looking for a versatile Full Stack & Data Integration Engineer to support frontend and backend application implementation, data ingestion, system integration, CI/CD, and production-readiness activities. The role will contribute to operational dashboards and interactive command-centre interfaces, while also building reliable backend services and data pipelines on AWS.

Key Responsibilities

- Develop responsive and interactive web user interfaces for operational dashboards, data visualisation, and command-centre or videowall use cases.

- Develop and maintain backend services, APIs, integration components, and data-ingestion jobs.

- Integrate frontend applications with APIs, streaming or near-real-time data services, authentication, and backend platforms.

- Implement ingestion from files, APIs, databases, event streams, or object storage into cloud data platforms.

- Build reliable processing with validation, error handling, retries, idempotency, quarantine, logging, and recovery support.

- Set up and maintain CI/CD pipelines, source-control workflows, automated testing, deployment packaging, and environment promotion.

- Support containerised workloads and cloud runtime services such as ECS/Fargate, Lambda, Glue, or equivalent.

- Implement monitoring, metrics, logs, alerts, health checks, and operational evidence capture.

- Collaborate with UX designers, data engineers, architects, QA, cloud/DevOps, and application teams through SIT/UAT, security testing, deployment, and handover.

- Prepare technical documentation, configuration guides, and operational runbooks.

Qualifications

Requirements (Must-Have)

- 3+ years of experience in full stack software engineering, frontend/backend development, data integration, DevOps, or related implementation roles.

- Hands-on frontend development experience using a modern framework such as React, Angular, or Vue, together with HTML, CSS, and JavaScript/TypeScript.

- Experience developing responsive dashboards, data-driven interfaces, or interactive web applications.

- Strong programming skills in at least one backend language such as Python, Java, or Node.js/TypeScript.

- Experience building and integrating REST APIs, backend services, or data-ingestion components.

- Hands-on experience with CI/CD tools and Git-based development workflows.

- Experience with AWS services, containerisation, IAM, logging, and monitoring.

- Understanding of production engineering practices, including testing, deployment, rollback, error handling, security, and operational support.

Plus Points (Advantage)

- Experience with real-time or near-real-time dashboards, WebSockets, event-driven interfaces, large-screen displays, command centres, or interactive videowalls.

- Experience with frontend charting or visualisation libraries such as ECharts, D3.js, Plotly, Highcharts, or equivalent.

- Experience with ECS/Fargate, Lambda, Glue, Step Functions, EventBridge, Kinesis, Kafka, or similar services.

- Experience integrating with Databricks, Snowflake, S3, Tableau, or enterprise data platforms.

- Infrastructure-as-code exposure such as Terraform or CloudFormation.

- Experience with XML/JSON, file-based ingestion, cross-account access, or high-volume data transfer.

- AWS, DevOps, software engineering, data engineering, AI/ML, or GenAI-related certification(s).

What We Value

- Versatility across frontend, backend, cloud, and data-integration work.

- Strong troubleshooting and ownership mindset.

- Focus on usable, reliable, maintainable, and supportable implementation.

- Ability to work in a fast-paced project environment and collaborate with different technical teams.

- Ownership of assigned tasks and openness to technical guidance and feedback.

- Willingness to learn and adapt;