AGBG Google Data & AI Engineer - Senior Analyst

Overview

Senior Analyst role as a Google Data & AI Engineer, building and operating data pipelines, analytics, and ML/GenAI components on Google Cloud within a delivery team.

What you'll do

• Build, test, and deploy data pipelines, transformations, dashboards, and ML/GenAI components on Google Cloud, from requirements through production support.
• Participate in client discussions, clarify requirements, and communicate progress and risks clearly to leads and stakeholders.
• Write clean, tested, documented code; participate in peer reviews; and monitor pipelines and models to resolve data quality and performance issues.
• Apply DataOps/MLOps practices, CI/CD, and Infrastructure as Code (Terraform) within an Agile framework, and estimate your own tasks.
• Contribute to reusable assets and accelerators, support junior team members, and keep building Google Cloud skills and certifications.
• Contribute to delivery in Google Cloud Data & AI areas: Data Platform & Modernization (build and migrate data to BigQuery using Dataflow, Datastream, and Cloud Composer).
• Contribute to Analytics & Business Intelligence (develop dashboards and semantic models using Looker and BigQuery).
• Contribute to Generative AI (solutions using Vertex AI, Gemini models, and Retrieval-Augmented Generation (RAG)).
• Contribute to Applied ML & MLOps (train, deploy, and monitor models using Vertex AI Pipelines and BigQuery ML).
• Contribute to Customer 360 & Marketing Intelligence (prepare and unify customer data in BigQuery to support segmentation and personalization).
• Contribute to Real-Time & Streaming Analytics (build and support streaming pipelines with Pub/Sub, Dataflow, and BigQuery).

What you'll need

• Hands-on experience building data or ML solutions on Google Cloud (GCP) that run in production.
• Solid programming skills in Python and SQL.
• 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.

Nice to have

• Exposure to Java/Scala or Apache Beam.
• Google 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.

Details

• Location: All over India.