Jobs → Data & Analytics → Data Engineer with CDP, GCP, Cloud Spanner

About the Role We are looking for a Data Engineer with expertise in CDP, GCP, and Cloud Spanner to build and operate real-time pipelines for a Customer Data Platform. This role involves migrating and reusing proven ETL from the Azure estate to Google Cloud. Key Responsibilities • Build and run NRT ingestion with Pub/Sub and Dataflow (Beam) into Spanner and BigQuery • Implement Spanner loads and change streams for current-state customer profiles • Implement reusable CDC, SCD Type 2, and late-arriving-data patterns in Beam, SQL, and PySpark • Build clickstream ingestion at scale Requirements • Experience with CDP, GCP, Cloud Spanner, BigQuery, and GraphQL • Strong understanding of data modeling and real-time pipeline engineering • Experience with PySpark, Beam, and SQL • Background in FAANG companies preferred Benefits