Python Developer

Getege EdTech Pvt. Ltd.; Maharashtra; On-site; INR 600,000 - 1,200,000; Full time

Job summary

A leading EdTech company in Maharashtra is seeking a skilled Python Developer to design and develop high-performance data applications. The role involves implementing data processing pipelines using Pandas and NumPy, creating comprehensive tests, and maintaining CI/CD workflows with GitHub. Ideal candidates will possess strong expertise in Python, automated testing frameworks, and version control. This position requires collaboration with cross-functional teams to streamline development and deployment processes.

Qualifications

• Hands-on experience with GitHub for version control.
• Strong knowledge of Python and data processing libraries like Pandas and NumPy.
• Experience in writing automated tests using Pytest and MagicMock.

Responsibilities

• Design and maintain Python applications ensuring performance and scalability.
• Implement data processing pipelines using Pandas and NumPy.
• Create automated unit tests with high test coverage.

Skills

GitHub

NumPy

Pandas

Testing

Data Processing

CI/CD

Python

Job description

We are hiring a Python Developer with strong hands‑on experience in Pandas, NumPy, Pytest, MagicMock, and GitHub to design scalable data applications with robust testing and CI/CD pipelines.

About The Role

Serve as the primary Python Developer responsible for building high-performance data applications using Pandas/NumPy, creating comprehensive test suites with Pytest/MagicMock, optimizing performance with multiprocessing/Dask, and maintaining production‑grade codebases through GitHub CI/CD workflows.

Key Responsibilities

Python Development & Data Processing

• Design, develop, and maintain Python applications ensuring high performance and scalability
• Implement data processing pipelines using Pandas and NumPy
• Optimize code performance using multiprocessing or Dask for parallel computing
• Handle large‑scale data manipulation and analysis efficiently

Testing & Quality Assurance

• Create and manage automated unit tests using Pytest and MagicMock
• Mock external dependencies, APIs, and file I/O for reliable testing
• Achieve high test coverage with performance and edge case testing
• Perform code reviews ensuring best practices and coding standards

CI/CD & Version Control

• Implement and maintain CI/CD pipelines using GitHub Actions
• Collaborate with teams using Git/GitHub for version control
• Streamline build, testing, and deployment processes
• Manage multiple priorities and deadlines effectively

Skills

• GitHub
• NumPy
• Testing
• Pandas
• Data
• Pipelines
• Python