Onsite/ /Hybrid Role - GCP Data Engineer - Concord, CA

Role: GCP Data Engineer Location: Concord, CA (Hybrid) Duration: Long Term Contract Required Qualifications (Must-Haves): Professional Experience: 5+ years of professional experience in a data engineering role, with a proven track record of building and maintaining large-scale data systems. Framework Design & Development: Demonstrable experience designing, building, and promoting the adoption of reusable data engineering frameworks such as Ingestion, Transformation, Validation etc On-Premises Data Warehouse/Big Data Expertise: Deep, hands-on experience with at least one of the following on-premise ecosystems: Teradata: Strong understanding of the Teradata architecture, utilities (BTEQ, TPT, FastLoad /MultiLoad), and advanced SQL/Stored Procedure development. Hadoop: Experience with the Hadoop ecosystem (HDFS, YARN, Hive) and hands-on proficiency with PySpark for large-scale data processing. Enterprise ETL: Demonstrable experience designing and building complex workflows in an enterprise ETL tool like Informatica PowerCenter. Google Cloud Platform (GCP) Proficiency: Demonstrable hands-on experience designing, building, and operating solutions with a comprehensive set of GCP data services, including: Core Data Processing & Warehousing: Google BigQuery (including data modeling, performance tuning, cost management), Google Cloud Storage (GCS), Cloud Dataflow, and Cloud Dataproc. Orchestration & Event-Driven Architecture: Cloud Composer (Managed Airflow) for complex workflow orchestration, and Pub/Sub and Cloud Functions for building streaming and event-driven data pipelines. Data Governance & Management: Practical experience using Dataplex for unified data management, security, and governance across data lakes and warehouses.