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Remote, popular data role with broad required skills and metro context increases candidate competition.
Role requires Databricks, OBO tokens, Claude and RAG specifics, making cross-industry transferability limited.
Extensive mandatory Databricks, PySpark, CI/CD, AI and platform-specific skills make filters highly stringent.
Design, build, and maintain data ingestion pipelines into Databricks using PySpark and PySQL integrating sources like SAP and website scraping.
Lead development and deployment of Databricks Apps, configure Unity Catalog permissions, and implement AI features including prompt engineering, Retrieval Augmented Generation, and Claude API integrations.
Create and automate CI/CD pipelines for Teams Bot, web applications, and Databricks components; ensure security compliance with scans and validations.
Experience with Databricks including Unity Catalog, Service Principals, and Databricks Apps development.
Proficiency in PySpark, PySQL, FastAPI, React, and prompt engineering for AI models (e.g., Claude).
Hands-on experience in CI/CD pipelines automation using Azure DevOps including security validation steps (Snyk scans, linting).
Work Experience Required: Not explicitly mentioned in the JD. Notice Period: Immediate joiners only.
Has a strong technical foundation spanning data architecture, full stack development, and AI integration within cloud environments (Azure/Databricks).
Operates effectively as an individual contributor in agile sprint cycles, able to deliver with limited documentation and close collaboration with cross-functional teams.
Demonstrates expertise in debugging, code reengineering, and implementing AI safety guard rails tailored to Databricks and advanced NLP applications.