Adobe AEP Data Engineer
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Job Title: Adobe AEP Data Engineer
Location: Atlanta, GA (3 days onsite)
Duration: Long term
Client: Retail Note: This is an urgent role; we need someone who can join immediately within a week time. Adobe Experience Platform (AEP) Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines that enable the ingestion, transformation, and availability of customer data across enterprise systems. The role involves implementing batch and real-time ingestion using APIs, SDKs, and source connectors, and structuring data using XDM schemas to ensure consistency, scalability, and interoperability.
The data engineer works closely with architects, analysts, and marketing teams to map source data into standardized models, configure datasets, and ensure accurate identity stitching for unified customer profiles. Key responsibilities include monitoring data quality, resolving ingestion issues, and optimizing pipelines for performance and reliability.
Skills required: strong proficiency in SQL, Python/Scala, ETL/ELT frameworks, APIs, and cloud platforms (GCP-Big Query), along with hands-on experience in AEP components, XDM schema design, identity management, and data governance.
Location: Atlanta, GA (3 days onsite)
Duration: Long term
Client: Retail Note: This is an urgent role; we need someone who can join immediately within a week time. Adobe Experience Platform (AEP) Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines that enable the ingestion, transformation, and availability of customer data across enterprise systems. The role involves implementing batch and real-time ingestion using APIs, SDKs, and source connectors, and structuring data using XDM schemas to ensure consistency, scalability, and interoperability.
The data engineer works closely with architects, analysts, and marketing teams to map source data into standardized models, configure datasets, and ensure accurate identity stitching for unified customer profiles. Key responsibilities include monitoring data quality, resolving ingestion issues, and optimizing pipelines for performance and reliability.
Skills required: strong proficiency in SQL, Python/Scala, ETL/ELT frameworks, APIs, and cloud platforms (GCP-Big Query), along with hands-on experience in AEP components, XDM schema design, identity management, and data governance.
Vacancy posted 19 hours ago
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