ITSS-Data Integration Developer

Description:

POSITION OVERVIEW : ITSS-Data Integration Developer

Work Mode: Remote

Location: Pan India

Exp - 7 to 10 years

POSITION GENERAL DUTIES AND TASKS :

RTCDP, AJO, CJA- Mandatory skills

We are looking for a skilled Data Engineer with hands-on experience in Adobe Experience Platform (AEP) and its core solutions Real-Time Customer Data Platform (RT-CDP), Adobe Journey Optimizer (AJO), and Customer Journey Analytics (CJA). The ideal candidate will design, build, and optimize scalable data pipelines that power personalized customer experiences, real-time activation, and journey analytics.

You will collaborate with cross-functional teams, including data architects, marketers, and analysts, to ensure high-quality, compliant, and unified customer data flows across digital channels.

Key Responsibilities:

• Data Pipeline Development:
• Design, develop, and maintain robust data ingestion pipelines into Adobe Experience Platform using batch and streaming data sources.
• Adobe RT-CDP Data Engineering:
• Implement RT-CDP data schemas, source connectors, identity resolution rules, and audience activation workflows.
• Integration & Transformation:
• Work with internal and external APIs, ETL/ELT tools, and data orchestration frameworks to enable data movement between AEP and other enterprise systems (CRM, DWH, web analytics, etc.).
• Adobe Journey Optimizer (AJO):
• Support the configuration of event datasets, triggers, and journey data pipelines for real-time activation and personalization.
• Customer Journey Analytics (CJA):
• Prepare and integrate datasets to ensure unified data models for cross-channel analytics and reporting within CJA.
• Data Quality & Governance:
• Ensure data accuracy, consistency, and compliance with privacy regulations (GDPR, CCPA, HIPAA, etc.) through monitoring and validation frameworks.
• Collaboration:
• Partner with Adobe architects, marketing operations, and analytics teams to translate business requirements into scalable data solutions.
• Performance Optimization:
• Optimize ingestion, storage, and query performance within AEP datasets and related cloud environments.
• Documentation & Automation:
• Maintain technical documentation and automate repetitive workflows using scripts and cloud-native