About this role
Databricks
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Design and build pipelines for ingesting data into Databricks from various sources like SAP, website scraping. Core technical skill will be PySpark and PySQL
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Write and do scenario-based testing, edge cases and discuss with the stake holders to finalize the necessary code changes and acceptance criteria.
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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.
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Knowledge of Databricks Apps. Ability to build and Deploy Databricks Apps using Visual Studio Code.
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Sending custom notifications from Databricks using APIs to custom Team Channel Webhooks AI:
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Ability to use FastAPI /React front end and build minimal Single Page Applications(SPAs) using Chat UI interfaces and Claude Models/APIs
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Ability to use defined System Prompts, User Prompts etc..(i..e,) skills in prompt engineering.
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Basic Knowledge of Token Economics and ability use rule enforcement in prompts in addition to standard NLP language.
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Ability to reengineer code and see what it does and map it to the requirement specifications from users
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Ability to use Graphs to detect inter dependencies between rules and circular references.
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Ability to use both Claude Vision API in addition to standard text processing.
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Understand and develop Retrieval Augmented Generation specifically to Databricks like AI Search indexes, Hierarchical Chunking etc..
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Know how to implement basic guard rails related to AI safety
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Understand various caching mechanisms Tools:
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Ability to work with Claude Code and Genie.