Lead Data Engineer with AI
Enable Data (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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
Ideal Candidate Profile
- 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.