Join a dynamic delivery team as a Google Data & AI Engineer (Senior Analyst) focused on building and operating robust data pipelines, advanced analytics, and cutting-edge ML/GenAI solutions within the Google Cloud ecosystem. You will take ownership of well-defined features, ensuring high quality across data accuracy, security, performance, and cost-efficiency, while continuously expanding your expertise in Google's comprehensive Data & AI portfolio.

This role offers a significant opportunity to contribute to client-facing projects and grow your career within a leading technology environment. You'll work collaboratively with leads and stakeholders, driving projects from inception through production support and beyond.

Develop, test, and deploy data pipelines, transformations, dashboards, and ML/GenAI components on Google Cloud, managing the entire lifecycle from requirements to production.

Engage in client discussions, clarify project needs, and provide clear updates on progress, risks, and outcomes to leads and stakeholders.

Produce clean, well-tested, and documented code, actively participating in peer reviews. Monitor pipelines and models to proactively resolve data quality and performance issues.

Implement modern engineering practices, including DataOps/MLOps, CI/CD, and Infrastructure as Code (Terraform), within an Agile framework. Independently estimate task durations.

Contribute to the creation of reusable assets and accelerators. Mentor junior team members and pursue ongoing professional development and certifications within Google Cloud.

Demonstrate hands-on experience in developing and deploying production-ready data or ML solutions on Google Cloud Platform (GCP).

Possess strong programming proficiency in Python and SQL. Familiarity with Java, Scala, or Apache Beam is advantageous.

Exhibit working knowledge of core GCP data services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer/Dataform.

Showcase exposure to ML and Generative AI on GCP, including Vertex AI (training, pipelines, endpoints), BigQuery ML, Gemini models, and basic RAG patterns.

Understand engineering fundamentals including Git, CI/CD, Terraform basics, automated testing, and secure access management (IAM, secrets).

Ideally, have familiarity with one or more domains: Data Platform Modernization, Analytics & BI (Looker), Generative AI, or Customer 360.

Possess excellent problem-solving and communication skills, with the ability to thrive in an Agile team environment.