Description

Build and deploy data applications and pipelines on Azure Databricks using Python and Kubernetes.

This role is on-site.

Responsibilities

• Design and implement Databricks Lakehouse platforms using Medallion Architecture and Unity Catalog.
• Develop comprehensive batch and streaming data pipelines on Azure Databricks.
• Build full-stack applications with Python backends (Django, Flask) and Streamlit UIs.
• Deploy Python services and applications using Kubernetes for scalable solutions.

Required Skills

• 5+ years of extensive experience with Databricks app development and deployment.
• Strong knowledge of Delta Lake, Lakehouse, and Medallion Architecture.
• Proficiency in advanced Python development and backend frameworks such as Django and Flask.
• Experience with UI development using Streamlit.
• Experience deploying applications on Kubernetes.
• Familiarity with data governance, lineage, and certification processes, especially with Collibra.

Referral Bonus: ₹50,000

Key Skills

Education

Any Graduate