Personalization Data Architect
4 weeks ago
About Our Client:
We are a leading provider of innovative solutions for the fashion industry. Our client is a forward-thinking platform that revolutionizes personal style curation through digital content. Like TikTok, we personalize user experiences by curating product recommendations and content based on individual aesthetic preferences. Users can explore and save Instagram content, organize inspirations into collections, and create moodboards reflecting their unique taste.
Job Overview:
The Data Engineer will be instrumental in constructing and optimizing data pipelines that gather, organize, and analyze vast amounts of information from various sources, including Instagram. This role demands close collaboration with the machine learning team to enhance recommendation algorithms, ensuring they genuinely reflect each user's distinctive style preferences.
Responsibilities and Requirements:
- Design and implement efficient data pipelines for processing extensive datasets from Instagram and additional sources.
- Create seamless systems for saving Instagram content to user profiles and categorizing it into collections.
- Collaborate with machine learning specialists to perfect data gathering approaches for personalization algorithms.
- Ensure data privacy and security standards are upheld, complying with legal and best practice frameworks.
- Develop data frameworks supporting user moodboard creation and content archival functionalities.
- Liaise with various teams to ensure data engineering initiatives align with user experience objectives.
- Utilize analytics tools to evaluate and improve the performance of personalization algorithms.
Salary and Benefits:
- $150,000 - $220,000 per annum.
- Comprehensive benefits package.
- Opportunities for professional growth and development.
- Contribute to a cutting-edge personalization experience.
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