Tag Implementation Engineer

eClerx
Mumbai, Maharashtra, India

Tag Implmentation Engineer - Mumbai/Pune/Bangalore

Implement the outstanding analytics events on web, iOS and Android inside the client's squads, validate them against the schema, and produce per-touchpoint readiness evidence so Adobe can be switched off before contract expiry.

Experience: 4-8 years, in the relevant platform, with analytics tracking in production.

Must-have

  • iOS developer:
  • Swift (Objective-C a plus), UIKit and SwiftUI, Xcode, XCTest, Swift Package Manager or CocoaPods
  • Integrated at least one analytics SDK in a production app: Amplitude iOS SDK, Adobe Experience Platform Mobile SDK or legacy Adobe Mobile SDK, Firebase
  • Screen, lifecycle and deep-link event handling; background and app-state edge cases
  • App Tracking Transparency and consent-driven tracking
  • Android developer:
  • Kotlin (Java a plus), Jetpack Compose and Views, Gradle, JUnit and Espresso
  • Integrated at least one analytics SDK in a production app: Amplitude Android SDK, Adobe Experience Platform Mobile SDK or Adobe Mobile SDK, Firebase
  • Activity/fragment lifecycle, configuration changes, backgrounding and process death without losing or duplicating events
  • Consent handling and device identifiers
  • Web / data-layer developer:
  • JavaScript and TypeScript, a modern framework (React or similar), single-page-app route and virtual page-view handling
  • Data-layer design and implementation (W3C or custom); Adobe Launch, Tealium, GTM or Segment
  • Amplitude Browser SDK and Adobe AppMeasurement or Web SDK; moving a data layer from an Adobe-shaped model to a vendor-neutral schema
  • Consent management platforms and tag firing rules
  • Validation and exit-readiness engineer:
  • Network-level inspection with Charles or Proxyman, browser dev tools, Adobe Assurance or Debugger, Amplitude Ingestion Debugger
  • Test cases written from event schemas, defect logging in Jira, regression checks each release
  • SQL to compare event volumes, nulls, duplicates and property completeness between legacy and new tables (Databricks/Spark a plus)
  • Building per-touchpoint readiness evidence: spec coverage, parity results, open defects and sign-off
  • Common to all:
  • Implementing to a written tracking spec and typed event wrappers, and flagging spec gaps rather than guessing
  • Running two analytics tools in parallel without double-counting
  • Working inside a client codebase and squad: pull requests, code review, CI, release trains and sprint ceremonies
  • Documenting what shipped, per touchpoint and releaseNice-to-have: removing Adobe SDKs, running two SDKs in parallel without double-counting, Observepoint, Databricks/Spark, readiness gates and go/no-go criteria, wholesale or B2B web surfaces.

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This is based in Mumbai, Maharashtra.

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