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Mid-level popular data role with cloud plus niche AEP skills creates moderate competition.
Core data engineering skills are transferable, but AEP/CDP specialization raises domain sensitivity.
Explicit 5–6 years plus mandatory GCP BigQuery and AEP requirements make filtering strict.
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Design and manage data pipelines and ETL workflows between GCP BigQuery and Adobe Experience Platform (AEP) to ensure reliable data ingestion and transformation.
Build and maintain BigQuery tables, datasets, and data models with a focus on high availability and optimized query performance.
Transform raw data into structured, analysis-ready datasets for customer data platform (CDP) and analytics use cases supporting customer profiling, segmentation, and personalization.
5–6 years of data engineering experience with strong expertise in GCP BigQuery, SQL, ETL/ELT pipelines, and cloud data architecture.
Experience working with Adobe Experience Platform (AEP) or CDP ecosystems, including knowledge of data ingestion and XDM schema concepts.
Ability to communicate effectively with clients to understand data requirements and translate business needs into technical solutions.
Work Experience Required: 5–6 years
Experienced in cross-functional collaboration with Martech, analytics, and business teams to drive data alignment and issue resolution.
Strong understanding of customer data modeling within CDP environments, especially using AEP and related schema standards.
Skilled in operational monitoring and improving data pipeline performance and governance to ensure high data quality and consistency.