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Senior Data Integration Developer

Posted on: 15/12/2025

Job Description

Description : Job Description 4 : Senior Data Integration Developer


POSITION OVERVIEW : ITSS-Data Integration Developer


Exp : 7 to 10 years


Location : Remote


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


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