Data Engineer –GCP BigQuery

You will work closely with business, analytics, and Martech teams to enable reliable, relevant, and consumption-ready data that supports customer profiling, segmentation, and personalization use cases. The role emphasizes data modeling, pipeline optimization, and ensuring data relevance for downstream activation and insights.

Top Roles & Responsibilities

• Design and manage data pipelines and ETL workflows between GCP BigQuery and AEP, ensuring reliable data ingestion and transformation.

• Build and maintain BigQuery tables, datasets, and data models, ensuring high data availability and optimized query performance.

• Enable data readiness and relevance by transforming raw data into structured, analysis-ready datasets for CDP and analytics use cases.

• Monitor and improve data quality, pipeline performance, and governance, troubleshooting issues and ensuring consistency across systems.

Expectations (Experience, Client Interaction & Communication)

• 5–6 years of experience in data engineering 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 data ingestion, XDM schema concepts, and customer data modeling.

• Strong client interaction skills—ability to understand data requirements, translate business needs into technical solutions, and drive alignment across stakeholders.

• Excellent communication and collaboration skills to work with cross-functional teams (data, Martech, analytics, business) and clearly articulate data insights and issues.