20 hours ago
Pune, IndiaMid Level / Senior
Responsibilities
- Analyze business and data requirements and produce validated AEP solution specifications.
- Design and implement XDM schemas, datasets, source mappings, and batch or streaming data ingestion pipelines.
- Build audience segments, merge policies, identity graph settings, and Real-Time CDP configurations.
- Design and configure Adobe Journey Optimizer journeys, including triggers, conditions, actions, personalization, and campaign configurations.
- Develop and maintain AEP API integrations and Query Service SQL workloads, including query optimization.
- Validate AI-generated AEP configurations, code, data models, segment queries, and journey logic before production use.
- Develop AEP-specific prompt-engineering patterns and contribute them to shared team libraries.
- Implement data quality rules, consent management configurations, and data governance policies.
- Monitor AEP pipelines, ingestion jobs, and journey executions; troubleshoot failures and document resolutions.
- Integrate LLM APIs and use AI-assisted tools for schema generation, query optimization, debugging, and integration acceleration.
Requirements
- Minimum 3 years of experience is required; the additional requirements specify 4+ years of commercial AEP development experience in production environments.
- Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, Software Engineering, or a related field, with a 15-year full-time education background required.
- Proficiency in Adobe Experience Platform, including XDM schemas, datasets, identity resolution, Real-Time CDP, ingestion, source connectors, data flows, destinations, governance, and consent management.
- Hands-on experience with Adobe Journey Optimizer, audience segmentation, merge policies, identity graphs, AEP Query Service, and AEP APIs.
- Demonstrated use of GitHub Copilot or Claude in daily AEP development and ability to evaluate and improve AI-generated outputs responsibly.
- Experience calling OpenAI, Anthropic, or similar LLM APIs in application code, including understanding token management, latency, and cost trade-offs.
- Proficiency in SQL and JavaScript; working knowledge of Python is a plus.
- Familiarity with AWS, Azure, or GCP, CI/CD pipeline concepts, Adobe Analytics integration, data migration to AEP, and enterprise CDP architecture.
- Familiarity with Customer AI, Attribution AI, DULE policies, LangChain, LangGraph, RAG pipelines, and agentic system concepts is expected or preferred.
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.