Lead Data Engineer with AI

Solution Architecture/Data Architecture

• Change Source code to accommodate for various architectural considerations e.g.: Moving MSAL based authentication to JWT based authentication to Databricks X-forwarded headers while using Apps
• Sit through Technical reviews for configuring necessary Azure resources for deploying the application.
• Prepare Technical/Network Architecture Documentation and send it reviews and approvals for cloud and security teams before going live.

Databricks

• Design and build pipelines for ingesting data into Databricks from various sources like SAP, website scraping. Core technical skill will be PySpark and PySQL
• Write and do scenario-based testing, edge cases and discuss with the stake holders to finalize the necessary code changes and acceptance criteria.
• Understanding of the Databricks Unity Catalog permissions model and how to use OBO tokens and configure Service Principals for Databricks Agents,Genie Spaces, Machine Learning and Foundation Models.
• Knowledge of Databricks Apps. Ability to build and Deploy Databricks Apps using Visual Studio Code.
• Sending custom notifications from Databricks using APIs to custom Team Channel Webhooks

AI

• Ability to use FastAPI /React front end and build minimal Single Page Applications(SPAs) using Chat UI interfaces and Claude Models/APIs
• Ability to use defined System Prompts, User Prompts etc..(i..e,) skills in prompt engineering.
• Basic Knowledge of Token Economics and ability use rule enforcement in prompts in addition to standard NLP language.
• Ability to reengineer code and see what it does and map it to the requirement specifications from users
• Ability to use Graphs to detect inter dependencies between rules and circular references.
• Ability to use both Claude Vision API in addition to standard text processing.
• Understand and develop Retrieval Augmented Generation specifically to Databricks like AI Search indexes, Hierarchical Chunking etc..
• Know how to implement basic guard rails related to AI safety
• Understand various caching mechanisms

Tools

• Ability to work with Claude Code and Genie.

Full Stack Development

• Ability to understand how a full stack works frontend, backend, middle ware data layers, routes etc.. and troubleshoot issues if any.
• Correct and rewrite code if any related to security findings in addition to standard development.
• Ability to Document code through various techniques like TDD,FDD,DFD and SD s

DevOps

• Create and Automate deployment pipelines(CI/CD) for Teams Bot Deployment ,Web Application Deployments, Databricks Bundle/notebook Deployments through ADO.
• Add various validation steps like SnykScans, Linting.
• Configuring various various environments based on CI/CD pipelines.

Communication Skills and Expectations

• Ability to work with short descriptions of requirements and collaborating closely with Toxicoloigists, Project Managers from client team.
• Ability to deliver work as an Individual Contributor in short sprint cycles.

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