Data Engineering Intern (ETL & Python) at Seagate Technology
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

08 Dec, 25

Salary

0.0

Posted On

09 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Information Systems, Computer Science, Version Control, Git

Industry

Information Technology/IT

Description

YOUR EXPERIENCE INCLUDES:

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

YOUR EXPERIENCE INCLUDES:

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

ABOUT THE ROLE - YOU WILL:

As a Data Engineering Intern, you will:

  • 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.

ABOUT THE ROLE - YOU WILL:

As a Data Engineering Intern, you will:

  • 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.
Loading...