highlisted

AI CoE Senior Data Engineer & Architect

QAD·Pune

Pay not stated8–14 yrsFull-time

Read from the company's own careers page; you apply on their site.

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About the role

QAD | Redzone is building an enterprise AI platform to support AI-enabled and agentic workflows across the organisation. The AI Centre of Excellence (CoE) is accountable for turning that ambition into deployed, measured, production workflows across priority business functions. The CoE is small, senior and high-leverage. AI Engagement Specialists own the demand side with the

What you'll do

  • Data feasibility and readiness
  • Assess the data behind every PRD before build is approved: sources, owners, volumes, quality, access
  • Paths and gaps, written up as a data readiness view the stage gate can act on, with what is missing, stale
  • Or not permitted and options to fix it
  • Build and run the pipelines that feed the AI platform (on AWS today) and the warehouses agents query

What you need

  • 8–14 yrs of experience
  • SQL
  • Machine learning
  • AWS
  • Python
  • BigQuery
  • Redshift
  • Any graduate

Good to have

  • dbt
  • Data modelling
  • Airflow
  • Elasticsearch
  • Power BI
  • IAM

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