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.