Data Engineering Intern (Data Pipeline)

Description

• Data Pipeline Development and Support: Assist in designing and building data pipelines to enable efficient data flow from the source system to the PSDH Data Lakehouse, using SQL and Python for ETL processes and azure cloud services like Azure Data Factory and Databricks.
• User Transition Assistance: Liaise with users to support their transition to PSDH, including gathering requirements, coordinating timelines, and facilitating onboarding to the new platform.
• Documentation and Best Practices: Create and update documentation on pipeline processes, data migration steps, and best practices for using PSDH.
• Data Ingestion and Management Approval: Support the ingestion of data from source system into PSDH, including preparing documentation and analyses required for seeking management approval to initiate the data ingestion.
• Data Lakehouse Architecture and Governance: Develop an understanding of the PSDH data lakehouse framework, including strategies for securing management approvals and aligning with governance policies.

Requirements

• Data Pipeline Engineering: Gain practical experience in constructing and managing data pipelines, using SQL and Python to transform and transport data.
• Technical Documentation: Learn to document technical workflows and create user guides, gaining insights into best practices for data ingestion and supporting user transitions.
• Stakeholder Engagement and Approval Process: Build skills in liaising with stakeholders, gathering user requirements, and supporting the formal approval process for significant data migrations.
• Preferred internship duration: May - Aug 2026 (3/4 months)
• Undergraduate students pursuing Computer Science / Information Technology, or relevant studies,

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance