AIOps & Data Automation Intern

Razer; Shah Alam; On-site; MYR 17,000 - 23,000; Part time

Job summary

Razer is seeking Data & Automation Engineering Interns to support payment reporting, data pipelines, reconciliation, and operational intelligence workloads. You will work with a small team across a global environment to enhance internal tools and automate workflows.

The internship focuses on practical engineering tasks, debugging production issues, validating data, and learning how dashboards and lakehouse migrations support business operations.

Qualifications

• Pursuing Computer Science, Software Engineering, Data Engineering or related studies.
• Careful, curious, and comfortable with practical engineering tasks that involve payment, reporting, reconciliation and decision support.
• Interest in backend engineering, data reporting, automation, AI-assisted operations, or payment systems.

Responsibilities

• Assist with ad-hoc data reporting, troubleshoot production bugs, and improve internal tools.
• Help document recurring issues and known reporting logic, and assist with automation scripts.
• Work with engineers to improve reliability, observability and maintainability of internal reporting workflows.
• Contribute scripts or small tools to reduce repetitive manual work.
• Support data extraction, transformation and reconciliation tasks.

Skills

SQL queries

API integration

reporting workflow

data extraction

automations

testing internal tools

observability

workflow automation

Education

Pursuing CS/Software Engineering/Data Engineering

Tools

Laravel

PHP

Node.js

Python

Shell scripting

Docker

Git

GitLab

CI/CD

Linux command line

MySQL

PostgreSQL

ClickHouse

DuckDB

Kafka

S3

Job description

Razer is seeking Data & Automation Engineering Interns to support payment reporting, data pipelines, reconciliation, and operational intelligence workloads. You will work with a small team across a global environment to enhance internal tools and automate workflows.

The internship focuses on practical engineering tasks, debugging production issues, validating data, and learning how dashboards and lakehouse migrations support business operations.