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Salary
≈ $18k – $41k per year (Estimated)
Location
In office (Bengaluru, Chennai, Hyderabad)
Experience
9+ years exp

First seen by Alion on Oct 23, 2026. Cognizant scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.

Responsibilities:

  • Implement AEP data pipelines: Sources, datasets, XDM schemas, identity namespaces, and profile stitching.
  • Configure AEP RT-CDP: Segments, audiences, destinations (e. g., email/SMS, ad platforms), consent, and governance controls.
  • Build AJO journeys and campaigns: Triggers, eligibility rules, orchestration logic, templates, personalization, and experimentation.
  • Integrate event sources (streaming, batch), edge implementations, and decisioning.
  • Establish monitoring and QA: data quality checks, segment population, journey performance, deliverability, and error handling.
  • Collaborate with QA, Analytics, and Marketing Ops; document solutions and runbooks; provide L3 support.
  • Ensure privacy/compliance: Consent, opt-outs, data retention, PII handling, and regulatory adherence.
  • Optimize performance: throughput, latency, identity match rates, and downstream activation success.


Requirements:

  • Strong hands-on AEP: XDM schema design, identity resolution, profiles, segments, sources/destinations.
  • AJO: Journey design, event triggers, audience eligibility, templates, offers/personalization, throttling, frequency capping.
  • Edge network basics and tag management (Adobe Launch / other TMS).
  • Practical experience with JSON, APIs, webhooks, and data transformation.
  • Understanding of data privacy, consent frameworks, and enterprise governance.


Nice-to-Have:

  • Adobe Target/Offers decisioning, Adobe Campaign integration, and message rendering for email/SMS/push.
  • Experience with Kafka/Kinesis, Snowflake/BigQuery, and ETL/ELT tools.
  • Basic scripting: Python/Node for utilities; CI/CD for configuration as code.
  • Familiarity with customer data platforms (CDPs) and cross-channel activation patterns.

Skills

AEP, AJO, Adobe Experience Platform, Adobe Journey Optimizer, XDM

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