Join our dynamic team as a Google Data & AI Engineer (Senior Analyst) and play a pivotal role in building and managing robust data pipelines, advanced analytics, and cutting-edge ML/GenAI solutions on Google Cloud. As a key member of our delivery team, you will translate defined designs into production-ready components, ensuring high standards of data accuracy, security, performance, and cost-efficiency. This role offers a fantastic opportunity to deepen your expertise within Google's comprehensive Data & AI ecosystem.

Develop, test, and deploy data pipelines, transformations, and ML/GenAI models within the Google Cloud environment, from initial concept through to production support. Engage actively in client discussions, refine requirements, and maintain transparent communication with leads and stakeholders regarding project progress and potential risks.

Champion code quality by writing well-tested and documented code, actively participating in peer reviews, and diligently monitoring pipelines and models to address any data quality or performance anomalies. Embrace modern engineering practices such as DataOps/MLOps, CI/CD, and Infrastructure as Code (Terraform) within an Agile framework, while independently estimating your task workload.

We are seeking a seasoned professional with 2-5 years of hands-on experience in building and deploying production-ready data or ML solutions on Google Cloud Platform (GCP). Essential technical skills include strong proficiency in Python and SQL, with a working knowledge of core GCP data services like BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer/Dataform.

Demonstrated exposure to ML and Generative AI on GCP, including Vertex AI, BigQuery ML, Gemini models, and basic RAG patterns, is crucial. Candidates should possess fundamental engineering knowledge in areas such as Git, CI/CD, Terraform, automated testing, and secure access management (IAM). Familiarity with domains like Data Platform Modernization, Analytics & BI (Looker), Generative AI, or Customer 360 is highly valued, alongside strong problem-solving abilities, excellent communication skills, and the capacity to thrive in an Agile team setting.