GenAI-Enabled Data Engineer Intern (ETL)

Seagateseagate.com; Singapore; On-site; SGD 11,000 - 17,000; Part time

Job summary

Seagate's IT MES internship in Woodlands, Singapore, invites a Data Engineering Intern to join a team supporting global factory operations. You will gain hands-on experience with ETL pipelines, SQL optimization, and Python-based automation, while exploring GenAI approaches for enterprise data platforms.

Ideal candidates are pursuing CS/SE/IS degrees, with Oracle/Postgres ETL exposure, and an interest in LangChain, LangGraph, and Marimo notebooks.

Qualifications

• Pursuing a degree in CS, Software Engineering, Information Systems, or related field.
• Experience (academic or project) with ETL pipelines in Oracle/Postgres.
• Familiarity with Generative AI frameworks (LangChain, LangGraph, Chainlit, or similar).
• Knowledge of Git and Agile practices.

Responsibilities

• Work with senior engineers on ETL processes in Postgres / Oracle, including writing and optimizing stored procedures, functions, and packages.
• Develop and optimize complex SQL queries to support data extraction, transformation, and reporting needs.
• Use Python for automation, data processing, and proof-of-concepts.
• Collaborate with Application Architects and Business SMEs to deliver data integration solutions supporting MES and factory applications.
• Contribute to projects involving LLMs, LangChain, LangGraph, and Marimo notebooks for GenAI-enabled data pipelines.
• Support testing, troubleshooting, and documentation to ensure system reliability and performance.

Skills

SQL

Python

Postgres/Oracle

ETL pipelines

LangChain

LangGraph

Marimo notebooks

Git

Education

Pursuing CS/Software Eng/Information Systems

Tools

Postgres

Oracle

Job description

Seagate's IT MES internship in Woodlands, Singapore, invites a Data Engineering Intern to join a team supporting global factory operations. You will gain hands-on experience with ETL pipelines, SQL optimization, and Python-based automation, while exploring GenAI approaches for enterprise data platforms.

Ideal candidates are pursuing CS/SE/IS degrees, with Oracle/Postgres ETL exposure, and an interest in LangChain, LangGraph, and Marimo notebooks.