Technical Lead (E-Commerce) job opportunity at LUXASIA.

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Date2025-11-28T10:35:17.085Z bot
LUXASIA Technical Lead (E-Commerce)
Experience: General
Pattern: Full-time
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degreeGeneral
loacation Delhi, India
loacation Delhi....India

Description LUXASIA is the leading and largest beauty omnichannel brand-builder of Asia Pacific. Since 1986, it has successfully enabled market entry and brand growth for more than 100 luxury beauty brands, the likes of Albion, Aveda, Bvlgari, Calvin Klein, Creed, Diptyque, Hermes, La Prairie, Maison Francis Kurkdjian, Montblanc, Paco Rabanne, Salvatore Ferragamo, and SK-II. LUXASIA has established Joint Ventures with the likes of LVMH Group, Revlon (for Elizabeth Arden), Puig, Shiseido, and Orveon (for Laura Mercier).  The Group's integrated brand-building capabilities include luxury retail, online commerce, consumer marketing & analytics, and supply chain management. LUXASIA is powered by a diverse and dynamic #OneTeam of 2700 talents across a growing footprint of 15 markets. About The Role We are seeking a driven Technical Lead to join our Data & Analytics function. You will help unlock insights from our transaction, marketing, traffic, and operational data to guide strategic and tactical decisions across the business. As a key team member, you will partner closely with stakeholders in marketing, operations, finance, and tech to turn data into business impact. Key Responsibilities Lead engineering for all internal digital tools (dashboards, automation, AI features). Architect scalable systems for multi-country operations. Lead the team of developers + data engineers and collaborate with Bas/BIEs. Own end-to-end delivery, sprints, and quality. Design and maintain APIs, integrations, and data pipelines. Implement best practices in CI/CD, security, testing, and documentation. Interact with business teams to translate needs into tech solutions. Qualifications & Skills Must-Have Skills Strong backend engineering (Python, Node, Java, etc). Experience with cloud (Azure/GCP/AWS). Data engineering concepts (SQL, pipelines, ETL/ELT). System design and architecture. Marketplace API integration knowledge (Shopee, Lazada, Amazon, Shopify). Leadership, strong communication and Bias for Action Nice - to- have Skills Experience with AI/ML pipelines. Previously built internal analytics tools. Retail/e-commerce exposure.

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