Engineering Intern - Business Technology Operations (foundational Pim)

Alo Yoga

Beverly Hills, California, United States
Not specified; not specified; not specified
**
Computer science intern
Product information management pim
Amazon redshift data lake
** Alo Yoga is seeking a Computer Science intern for their Business Technology Operations team, focusing on building a foundational Product Information Management (PIM) system. The internship will take place on-site in Beverly Hills from June 8 to July 31, 2024, and offers a unique opportunity to contribute to the integration of product data across multiple systems. **

Job Summary

  • This internship offers a unique opportunity to design and build a foundational Product Information Management capability that will serve as a single, trusted source of product data across ALO's technology ecosystem.
  • The intern will help consolidate product information distributed across NGC PLM, FDM4 ERP, FDM4 WMS, Shopify, and spreadsheets into a centralized solution built on Amazon Redshift.
  • The role involves developing SQL-based transformations and views to create canonical product records suitable for consumption by multiple systems and microservices.

Matching Summary

Match Score: 75

** Alo Yoga is seeking a Computer Science intern for their Business Technology Operations team, focusing on building a foundational Product Information Management (PIM) system. The internship will take place on-site in Beverly Hills from June 8 to July 31, 2024, and offers a unique opportunity to contribute to the integration of product data across multiple systems. **

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Computer Science Intern
  • Product Information Management PIM
  • Amazon Redshift Data Lake
  • SQL-based transformations
  • Data pipeline development
  • PLM ERP WMS Shopify integration

Nice-to-have

  • Motivated and technically strong candidate
  • Ability to partner with cross-functional teams
  • Scalable foundation design mindset

Key Requirements

  • Computer Science student or recent graduate
  • Strong technical skills in data engineering
  • Experience with SQL and data pipelines

Work Rights

Not specified

Tailored Resume

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