Senior Django Backend Engineer - Azure, PySpark & APIs

InfoBeans

Charlotte (NC)

On-site

USD 85,000 - 120,000

Full time

2 days ago
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Job summary

InfoBeans is seeking a backend-focused engineer to develop Django-based microservices and robust APIs. The role emphasizes full-stack collaboration with React front-end teams and leveraging Azure cloud services for deployment and operations, including Databricks for big data work and PySpark for processing pipelines.

The ideal candidate has a strong background in RESTful API design, database management (SQL/NoSQL), and agile methodologies, contributing to scalable, secure software solutions in a

Qualifications

  • Bachelor's degree in CS, IT, or related field.
  • Experience with backend development.
  • Experience with Django and React.
  • Proven experience with Azure Cloud services.
  • Experience with Azure Databricks and PySpark.
  • Strong understanding of RESTful APIs and web services.
  • Familiarity with Agile methodologies.
  • Experience with SQL and NoSQL databases.

Responsibilities

  • Develop backend microservices with Django.
  • Design and implement scalable, secure APIs.
  • Integrate Azure cloud services for deployment and management.
  • Utilize Azure Databricks and PySpark for data processing.
  • Collaborate with frontend developers, product managers, and stakeholders.
  • Conduct code reviews and ensure best practices.
  • Optimize database performance and data storage.
  • Support architecture design and technical decisions.

Skills

Backend development
RESTful APIs
React
Agile methodologies
Problem solving
Communication
Database management

Education

Bachelor's degree in Computer Science, Information Technology, or a related field

Tools

Django
Azure Cloud
Azure Databricks
PySpark
SQL
NoSQL

Job description

InfoBeans is seeking a backend-focused engineer to develop Django-based microservices and robust APIs. The role emphasizes full-stack collaboration with React front-end teams and leveraging Azure cloud services for deployment and operations, including Databricks for big data work and PySpark for processing pipelines.

The ideal candidate has a strong background in RESTful API design, database management (SQL/NoSQL), and agile methodologies, contributing to scalable, secure software solutions in a

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