Data Analytics Engineer – (GCP)

Job Summary – Data Analytics Engineer (GCP) Design, architect, and implement end-to-end data pipelines and analytics workflows using Google Cloud Platform (GCP) services (e.g., Data Flow, Data Prep, Data Form, Dataplex, Vertex AI, Cloud Composer). Collaborate with business and technology stakeholders to gather/document requirements, identify optimal solutions, and manage risks. Develop and enable data preparation and transformation processes for reporting, business intelligence, and advanced analytics. Lead training and enablement sessions (“Office Hours”) to support analysts and business users in adopting cloud analytics solutions. Troubleshoot issues and coordinate with both internal teams and Google Cloud vendors to ensure solution delivery and optimize timelines. Promote organizational adoption of cloud data services through communication, training, and stakeholder engagement. Apply strong skills in GCP, SQL, Python (or SAS), data preparation (ETL/ELT), and analytics best practices. Bridge communication between business, data science, and technology teams, demonstrating strong change-management capabilities. (Preferred) Experience with SAS-to-GCP migration, hybrid cloud environments, and knowledge of data governance/cloud security.SummaryHands-on data analytics engineering role focused on building and enabling analytics solutions on GCP, supporting both technical and business users, and driving cloud adoption within the organization.