AGBG Google Data & AI Engineer - Senior Analyst

Job Title - AGBG Google Data & AI Engineer – Senior AnalystManagement Level: 10-Senior AnalystLocation: All over IndiaMust have skillsHands-on experience building data or ML solutions on Google Cloud (GCP) that run in production.

Solid programming skills in Python and SQL; exposure to Java/Scala or Apache Beam is an advantage. Working knowledge of core GCP data services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer/Dataform.

Exposure to ML and Generative AI on GCP: Vertex AI (training, pipelines, endpoints), BigQuery ML, Gemini models, and basic RAG patterns. Engineering basics: Git, CI/CD, Terraform fundamentals, automated testing, and secure access (IAM, secrets).

Familiarity with one or more domains: Data Platform Modernization, Analytics & BI (Looker), Generative AI, or Customer 360. Strong problem-solving, communication, and ability to work in an Agile team. Good to haveGoogle Cloud Associate Cloud Engineer or Professional Data Engineer certification (or in progress).

Exposure to Looker (LookML), Dataplex, or Vertex AI Agent Builder. Experience working with on-shore/off-shore teams. Job SummaryAs a Google Data & AI Engineer (Senior Analyst), you will build and operate data pipelines, analytics, and ML/GenAI components on Google Cloud as a core member of a delivery team.

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 mon