Senior Data Engineer – Equity

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Luupli

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2022

👥 B2C

🛍️ eCommerce

🌍 Impact social

B2C • eCommerce • Social Impact

Luupli est une application de médias sociaux visant à créer une plateforme équitable et équilibrée pour ses utilisateurs. En mettant l'accent sur l'autonomisation des créateurs et une expérience améliorée, Luupli invite les utilisateurs à rejoindre son mouvement pour une réforme des médias sociaux. L'entreprise propose actuellement une version bêta de son application pour engager les premiers utilisateurs.

Description

• Design, optimize, and maintain tables and data structures to support recommendation and trending content data. • Work with structured data storage solutions, including PostgreSQL and JSONB, to manage recommendation and interaction data. • Implement and refine recommendation algorithms (e.g., collaborative filtering, content-based, and hybrid approaches) to enhance relevancy. • Use similarity search libraries like Annoy or Faiss to optimize recommendation speed and accuracy. • Continuously evaluate recommendation logic to better serve user preferences, ensuring real-time delivery. • Aggregate, analyze, and process user interaction data to support recommendations and trending content. • Design efficient queries and implement aggregation methods to capture relevant data and insights for recommendations. • Identify, troubleshoot, and resolve data handling issues to ensure accurate recommendation delivery. • Optimize queries, processing workflows, and containerised services for high performance and scalability within AWS ECS.

🎯 Exigences

• Proven experience as a Data Engineer or Backend Engineer, with a focus on recommendation systems. • Proficient in SQL and database management, especially with PostgreSQL and JSONB for structured data handling. • Solid understanding of recommendation algorithms (collaborative filtering, content-based, hybrid approaches). • Experience with similarity search libraries such as Annoy or Faiss. • Strong programming skills in Python, with experience in building backend logic for data-intensive applications in a containerised environment. • Familiarity with AWS ECS for container management, including task scheduling and scaling. • Experience using AWS EventBridge to trigger workflows or automate tasks in response to application events. • Analytical skills for data aggregation, querying, and insights generation. • Strong debugging and optimisation skills for handling large-scale data processing in cloud-based environments.

🏖️ Avantages

• This is an equity-only position, offering a unique opportunity to gain a stake in a rapidly growing company and contribute directly to its success.