Negotiable
Undetermined
Remote
Remote
Summary: The Data Modeler role focuses on designing and developing scalable data pipelines and customer data solutions using Adobe Experience Platform (AEP). The position requires collaboration with various teams to enhance customer experience while ensuring compliance with data regulations and maintaining data quality. The role also involves managing data models and troubleshooting performance issues related to data integration.
Key Responsibilities:
- Design and develop scalable data pipelines, integrations, and customer data solutions using Adobe Experience Platform (AEP).
- Build and manage data models, schemas, and ingestion processes using JSON/XML while ensuring data quality and governance.
- Collaborate with marketing, product, and analytics teams to enhance customer experience and drive business insights.
- Ensure compliance with GDPR, CCPA, and DPDP regulations while implementing security and data governance best practices.
- Leverage Marketing Data Lakes on AWS/Azure and troubleshoot performance, integration, and data quality issues.
Key Skills:
- Experience with Adobe Experience Platform (AEP).
- Proficiency in building data models and schemas using JSON/XML.
- Knowledge of data governance and quality assurance practices.
- Familiarity with GDPR, CCPA, and DPDP regulations.
- Experience with AWS/Azure Marketing Data Lakes.
- Strong collaboration and communication skills.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role Name: Data Modeler
Location:Georgia (F2F)
Adobe Experience Platform (AEP) Data Engineer
Design and develop scalable data pipelines, integrations, and customer data solutions using Adobe Experience Platform (AEP).
Build and manage data models, schemas, and ingestion processes using JSON/XML while ensuring data quality and governance.
Collaborate with marketing, product, and analytics teams to enhance customer experience and drive business insights.
Ensure compliance with GDPR, CCPA, and DPDP regulations while implementing security and data governance best practices.
Leverage Marketing Data Lakes on AWS/Azure and troubleshoot performance, integration, and data quality issues.