Jobs → Data & Analytics → Senior Data Engineer

About the Role We are looking for a Senior Data Engineer with strong expertise in Customer Data Platforms (CDP), Google Cloud Platform, Cloud Spanner, and real-time data engineering to build scalable pipelines supporting 100M+ customer profiles, low-latency APIs, and AI-powered customer experiences. Key Responsibilities • Build scalable data pipelines supporting 100M+ customer profiles • Develop low-latency APIs for customer data • Implement AI-powered customer experiences • Design and implement data models, ETL/ELT processes • Manage real-time / near-real-time streaming pipelines Requirements • 15+ years of Data Engineering experience • FAANG background mandatory • 3+ years of production experience with GCP data platforms • 3+ years of real-time / near-real-time streaming pipelines • 3+ years of BigQuery • 1+ year of Cloud Spanner • 4+ years of data modeling, ETL/ELT, SQL, and Python • 3+ years of Databricks, Spark, and Delta Lake • 2+ years of Azure and Snowflake • Hands-on experience with Pub/Sub, Dataflow, Apache Beam, and Kafka • Strong PySpark, CDC, SCD Type 2, and clickstream ingestion • Experience with Terraform, CI/CD, orchestration, and data quality