Databricks AI Lakehouse Engineer

Experience with Databricks GenAI , including Model Serving, Vector Search, and embedding workflows.

Strong command of Databricks Lakehouse (Clustering, Unity Catalog, Delta Lake).

Knowledge of LLMs , embeddings (OpenAI / Azure OpenAI), and GenAI app patterns (RAG / Agents).

4–5 years of hands-on experience in Python , PySpark , and Data Engineering .

Proficiency in SQL, Spark performance tuning, and distributed computing.

Strong understanding of cloud platforms (Azure preferred).

Experience with CI / CD using Azure DevOps, GitHub Actions, or similar tools.

Good to Have

Familiarity with React.Js for developing simple UI modules.

Experience with MLflow for model tracking.

Exposure to metadata-driven frameworks or automation-based accelerators.

Understanding of MLOps and orchestration tools (Airflow, ADF, DB Workflows).

Knowledge of Lakehouse security and governance concepts.