Data Engineering Intern: Build ETL Pipelines & Dashboards

Western Digital Corp.; Petaling Jaya; On-site; MYR 17,000 - 28,000; Full time

Job summary

Western Digital Corp. seeks a Data Engineering Intern to support its engineering operations team at the KL COE office.

You will work on schema design, data ingestion, API interfaces, template generation logic, and dashboards across relational, time-series, and vector data. Ideal candidates are currently pursuing a bachelor's degree in computer engineering, computer science, software/data engineering, and can start onboarding early 2027.

Qualifications

• Pursuing a Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Engineering, Data Science, or a related field.
• Expected onboarding/start date: Early 2027.

Responsibilities

• Assist in database schema design and documentation for an automation system supporting engineering test operations.
• Develop and maintain ETL pipelines for data ingestion and transformation workflows.
• Build basic API interfaces for data access and integration with engineering platforms and systems.
• Implement template parameter mapping and generation logic using templating frameworks.
• Support reporting and dashboarding development for engineering and operational metrics.
• Perform data quality checks and validation across structured and unstructured data sources.
• Maintain clear documentation for pipelines, schemas, and workflows.
• Participate in code reviews and maintain clean, well-documented code.

Skills

SQL

Python data handling

REST APIs

ETL pipelines

Templating frameworks

SSH

Git

Education

Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Engineering, Data Science, or related field

Tools

Grafana

Power BI

Job description

Western Digital Corp. seeks a Data Engineering Intern to support its engineering operations team at the KL COE office.

You will work on schema design, data ingestion, API interfaces, template generation logic, and dashboards across relational, time-series, and vector data. Ideal candidates are currently pursuing a bachelor's degree in computer engineering, computer science, software/data engineering, and can start onboarding early 2027.