AGBG Google Data & AI Engineer - Specialist (Lead)

Accenture•India•🌍 Remote

Full-timeSenior

👁️ 0 views•📝 0 applications•Posted 11/10/2026•Expires 1/9/2027

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Job Description

Job Title - AGBG Google Data & AI Engineer – Specialist (Lead)Management Level: 09-SpecialistLocation: All over IndiaMust have skillsHands-on Google Cloud (GCP) Data & AI product delivery (design/build/run in production) with deep expertise in the Google data and AI product portfolio.

Strong programming experience in Python and SQL; Java/Scala with Apache Beam is an advantage. GCP data engineering depth: BigQuery (performance and cost optimization), Dataflow, Pub/Sub, Dataproc, Cloud Composer/Dataform, Cloud Storage/BigLake.

Applied ML and Generative AI on GCP: Vertex AI (Pipelines, Model Registry, Endpoints), BigQuery ML, Gemini models, RAG, and Vector Search. Engineering fundamentals: Infrastructure as Code (Terraform), CI/CD, DataOps/MLOps, observability, and security basics (IAM, CMEK, DLP, Dataplex).

Domain depth in one or more: Customer 360 & Marketing Intelligence, Data Platform Modernization, Analytics & BI (Looker), Generative & Agentic AI. Offering mindset: ability to contribute to reusable assets, POVs, accelerators, and estimates.

Good to haveGoogle Cloud Professional Data Engineer or Professional Machine Learning Engineer certification. Experience with Looker (LookML), Dataplex governance, and agent frameworks (Vertex AI Agent Builder/Agent Development Kit). Experience mentoring engineers in an on-shore/off-shore Agile delivery model.

Job SummaryL9 Specialist who leads client-facing delivery of data, analytics, and AI solutions on Google Cloud, with deep GCP product expertise and domain depth in one or more of Data Platform Modernization, Analytics & BI, Generative & Agentic AI, or Customer 360.

Drives end-to-end engineering (build-to-run), mentors teams, and shapes repeatable offerings (POVs, accelerators, reference architectures) tied to measurable outcomes.

Roles & ResponsibilitiesHands-On Data & AI Engineering: Design, build, test, and deploy complex data pipelines, analytics, and ML/GenAI solutions on Google Cloud, working across the entire delivery lifecycle

Required Skills

AgileCI/CDData EngineeringGCPJavaLookerMachine LearningPythonSQLTerraform

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