Adobe Analytics Engineer (Tealium)

• Strong understanding of networking fundamentals, HTTP, REST, and client/server architectures. • Proficiency in JavaScript, TypeScript, HTML, CSS, and modern front‑end frameworks such as Angular and React. • Experience designing and implementing scalable, maintainable solutions using Git/GitHub, Node.js, and related web libraries. • Hands‑on expertise with REST/SOAP APIs, including JSON/XML handling, Postman usage, authentication patterns, and API best practices. • Solid cloud engineering experience (preferably Azure) including Virtual Machines, App Services, Kubernetes, Blob Storage, Virtual Networks, Active Directory, and DevOps pipelines. • Familiarity with containers and orchestration (Kubernetes, Docker). • Understanding of DevOps/CI‑CD concepts – build, deploy, validate, support. • Experience with unit testing frameworks (e.g., Jest) and Test‑Driven Development (TDD). Analytics + Tag Management Skills • Ability to implement, test, and debug analytics tags and pixels. • Understanding of data layers, event tracking, and instrumentation best practices. • Experience working with data collection frameworks and analytics workflows. Nice to Have • Basic UI/UX awareness. • Experience with Tealium iQ and Tealium AudienceStream. • Familiarity with analytics tools (e.g., Adobe Analytics), especially when integrated through Tealium. • Experience fetching, transforming, and displaying data using APIs. • Strong SQL skills and experience supporting data‑driven solutions. • Requirements/user story development using Agile practices. • Strong analytical problem‑solving skills. • Excellent written and verbal communication.