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Metro Bangalore role with broad full-stack AI, Databricks, and DevOps requirements increases competition.
Databricks, Azure, Claude and RAG expertise create strong domain bias and limited transferability.
Extensive mandatory Databricks, ML, full-stack and DevOps skills with lead seniority tighten shortlisting.
Design and build data ingestion pipelines into Databricks using PySpark and PySQL, integrating sources like SAP and website scraping.
Develop AI features using FastAPI/React with Chat UI interfaces and Claude Models/APIs, including prompt engineering and Retrieval Augmented Generation techniques.
Automate CI/CD pipelines for deployment of bots, web applications, and Databricks notebooks, incorporating security validations like Snyk scans and linting.
Experience with Databricks including Unity Catalog permissions, Service Principals, and Databricks Apps deployment.
Proficiency in PySpark, PySQL, FastAPI, React, and AI prompt engineering concepts.
Strong skills in full stack development, security code corrections, and DevOps automation via Azure DevOps (ADO).
Work Experience Required: Not explicitly mentioned in the JD
Operates effectively as an individual contributor with quick sprint cycle deliveries and minimal supervision.
Experienced in collaborating with cross-functional teams including toxicologists and project managers to clarify short requirement descriptions.
Comfortable handling end-to-end solution architecture, code reengineering, and application troubleshooting across full-stack and AI domains.