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Metro visibility but role specificity (Databricks, Claude) and small brand suggest moderate competition.
Strong Databricks, Unity Catalog and Claude dependency limits cross-industry transferability.
Many mandatory Databricks, PySpark, Claude, CI/CD and security requirements indicate strict technical filters.
Design and build data ingestion pipelines into Databricks using PySpark and PySQL for various data sources like SAP and web scraping.
Develop and deploy AI-enabled applications including FastAPI/React frontends using Claude Models and implement Retrieval Augmented Generation techniques specific to Databricks.
Create and automate CI/CD deployment pipelines for Teams Bots, web applications, and Databricks notebooks, incorporating security validations like Snyk scans and linting.
Proficient in Databricks platform, including Unity Catalog permissions, Service Principal configuration, and Databricks Apps development.
Experienced in AI development with skills in prompt engineering, use of Claude APIs (Vision and Code), and building Retrieval Augmented Generation solutions.
Strong programming skills including PySpark, PySQL, FastAPI, React, and full stack development experience with troubleshooting capabilities.
Work Experience Required: Not explicitly mentioned in the JD
Able to independently handle end-to-end solution architecture, data architecture, and AI integration within cloud-based deployments.
Experienced in implementing secure, automated DevOps CI/CD pipelines for data and AI applications in sprint-driven environments.
Comfortable working with minimal requirement descriptions and collaborating closely with domain experts and project managers as an individual contributor.