AGBG Google Data & AI Engineer - Senior Analyst

You will work from defined designs and guidance from leads, own well-scoped features end to end, and ensure quality across data accuracy, security, performance, and cost, while growing your expertise in Google's Data & AI portfolio.Roles & ResponsibilitiesHands-On Data & AI Development: Build, test, and deploy data pipelines, transformations, dashboards, and ML/GenAI components on Google Cloud, from requirements through production support.Client & Team Collaboration: Participate in client discussions, clarify requirements, and communicate progress and risks clearly to leads and stakeholders.Quality & Peer Reviews: Write clean, tested, documented code; participate in peer reviews; and monitor pipelines and models to resolve data quality and performance issues.Modern Engineering & Agile Delivery: Apply DataOps/MLOps practices, CI/CD, and Infrastructure as Code (Terraform) within an Agile framework, and estimate your own tasks.Learning & Contribution: Contribute to reusable assets and accelerators, support junior team members, and keep building Google Cloud skills and certifications.Contribute to delivery in one or more of the following Google Cloud Data & AI areas:–Data Platform & Modernization: Build and migrate data to BigQuery using Dataflow, Datastream, and Cloud Composer.–Analytics & Business Intelligence: Develop dashboards and semantic models using Looker and BigQuery.–Generative AI: Contribute to solutions using Vertex AI, Gemini models, and Retrieval-Augmented Generation (RAG).–Applied ML & MLOps: Train, deploy, and monitor models using Vertex AI Pipelines and BigQuery ML.–Customer 360 & Marketing Intelligence: Prepare and unify customer data in BigQuery to support segmentation and personalization.–Real-Time & Streaming Analytics: Build and support streaming pipelines with Pub/Sub, Dataflow, and BigQuery.About Our Company | Accenture