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Ness Digital Engineering

Lead Python Developer

Bangalore, India, India7+ yrsPosted 2 weeks ago

Skills

PythonPostgreSQLSQLDjangoAzure

Job description

Job Title: Lead Developer – Python / FastAPI / Databricks

Experience: 7+ years

Role Focus: Full-stack development, technical design, Python, FastAPI , Databricks Apps

Job Summary

We are looking for a Lead Developer with strong full-stack experience in Python-based application development. The Lead Developer will translate the high-level architecture provided by the Solution Architect into detailed technical designs and working application components.

Key Responsibilities

Convert high-level architecture and modules from the Architect into detailed technical designs.

Lead development of Python-based applications.

Design and develop applications using FastAPI and Python.

Build and integrate applications deployed through Databricks Apps .

Develop components across the full application stack: UI layer

Application/integration layer

Database layer

Build selected core components and provide technical direction to developers.

Break architecture into modules and assign implementation requirements to engineers.

Review developer implementations and ensure alignment with the architecture and technical design.

Work with PostgreSQL and database integration.

Collaborate with the Architect to resolve technical and design issues.

Ensure applications follow multi-tenancy and isolation principles defined by the architecture.

Required Skills

Strong Python development experience.

Strong experience with FastAPI .

Hands-on experience with Databricks Apps .

Full-stack development experience.

Experience across UI, application/integration, and database layers.

Experience with PostgreSQL .

Strong SQL skills.

Experience designing and implementing application components from high-level architecture.

Understanding of multi-tenant application development.

Preferred Skills

Streamlit .

Django.

Azure.

Azure Databricks.

AKS / Azure App Service.

Experience deploying Python applications in cloud environments.

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