Internship: Data Engineer

Description du poste:

Job Description

ABOUT YOUR ROLE:

The Data Engineer Intern will be a vital member of the Operations Team, contributing significantly to Avery Dennison's operations transformation, specifically supporting improvements within our China operations. A core focus of this role is to assist in the design, development, and maintenance of the scalable data pipelines that transform raw data into actionable insights. You'll work closely with Data Analysts to ensure that our data infrastructure is robust, efficient, and reliable.

YOUR RESPONSIBILITIES WILL INCLUDE:
* Assist in the end-to-end migration of large-scale datasets from legacy servers to new infrastructure; implement validation checks to ensure data consistency and zero loss during the transition.
* Support the review and profile of existing ETL(Extract, Transform, Load) pipelines to identify bottlenecks; implement logic improvements to reduce data latency and enhance overall execution speed.
* Maintain and optimize data warehouse schemas to ensure high availability, scalability, and query performance for downstream users.
* Support the end-to-end lifecycle of data preparation-including screening, cleaning, and structural processing-to create high-quality datasets specifically optimized for AI model grounding and machine learning applications.
* Support the Data Analyst in engaging with business stakeholders to audit technical pain points; assist in translating these "real-world" problems into technical specifications.
* Partner closely with the Data Analyst to architect and deliver clean, structured datasets that serve as the "single source of truth" for high-level business reporting and digital transformation initiatives

Profil requis du candidat:

Qualifications

WHAT WE WILL BE LOOKING FOR IN YOU

* Students pursuing an technical discipline degree (Computer Science / Software Engineering / Data Science etc)
* Intermediate proficiency in SQL/Python with an eagerness to learn database schemas and ETL logic.
* A focus on ensuring data consistency when assisting with moving datasets across servers.
* An interest in learning to identify performance bottlenecks and reduce pipeline latency.
* Ability to listen to business needs and assist in translating them into initial technical considerations.
* A deep interest in how high-quality, structured data serves as the foundation for AI model grounding