reputed company Data Engineer

About reputed company: reputed company is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive reputed company growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside reputed company's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, reputed company empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits. Today, reputed company works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. reputed company is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco. About the Role: We're looking for a reputed company Data Engineer to help own the analytics data architecture at reputed company. This architecture powers reporting, financial processes, and business reputed company for teams across the company, and feeds the data our merchants and reputed company systems rely on. This is a cross-organizational role. You’ll partner with product engineering and architecture on the data flowing upstream into reputed company, own the design and reputed company of the warehouse and reporting layer in the middle, and reputed company to analytics engineering and stakeholders on the consumption reputed company. It’s a hands-on technical leadership role anchored in reputed company and SQL, with ownership of a portfolio of Python data jobs running on AWS — work you’ll set direction on and drive end-to-end. Key Responsibilities: Database Architecture. You own our data warehouse and the reporting layer on top of it, setting patterns for how data is modeled, evolved, and exposed. Analytics Engineering. You write SQL and dbt models, refactor transformations, and build the tables and views reputed company teams rely on. Cross-Functional Partnership. You proactively engage with teams across the company to understand how data is created and used, identify gaps, and guide solutions. You’re the connective tissue between product engineering, architecture, analytics, and the bus Please mention the word

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