Python Developer for Data Processing Optimization
Budget: ₹1,500 – ₹12,500 INR
Job Overview:
We are looking for an experienced Python Developer with strong expertise in NumPy, Pandas, Git, and GitHub. The ideal candidate should have experience in data manipulation, numerical computations, and version control. You will work on optimizing data processing pipelines, collaborating via GitHub, and ensuring high-quality code.
Responsibilities:
Develop and optimize data processing pipelines using NumPy and Pandas.
Write efficient and scalable Python code for numerical and statistical analysis.
Use Git & GitHub for version control, collaboration, and code reviews.
Debug, profile, and improve existing Python scripts and algorithms.
Manage structured and unstructured data efficiently.
Document code, write clear commit messages, and follow best coding practices.
Collaborate with the team via GitHub pull requests, issues, and discussions.
Requirements:
Proficiency in Python, with a strong focus on NumPy and Pandas.
Experience with Git and GitHub, including branching, merging, pull requests, and code reviews.
Strong understanding of data manipulation, vectorized operations, and performance optimization.
Experience working with large datasets and optimizing memory usage.
Familiarity with Jupyter Notebook, Matplotlib, or Seaborn is a plus.
Ability to write clean, maintainable, and well-documented code.
Previous freelancing experience is a bonus.
We are looking for an experienced Python Developer with strong expertise in NumPy, Pandas, Git, and GitHub. The ideal candidate should have experience in data manipulation, numerical computations, and version control. You will work on optimizing data processing pipelines, collaborating via GitHub, and ensuring high-quality code.
Responsibilities:
Develop and optimize data processing pipelines using NumPy and Pandas.
Write efficient and scalable Python code for numerical and statistical analysis.
Use Git & GitHub for version control, collaboration, and code reviews.
Debug, profile, and improve existing Python scripts and algorithms.
Manage structured and unstructured data efficiently.
Document code, write clear commit messages, and follow best coding practices.
Collaborate with the team via GitHub pull requests, issues, and discussions.
Requirements:
Proficiency in Python, with a strong focus on NumPy and Pandas.
Experience with Git and GitHub, including branching, merging, pull requests, and code reviews.
Strong understanding of data manipulation, vectorized operations, and performance optimization.
Experience working with large datasets and optimizing memory usage.
Familiarity with Jupyter Notebook, Matplotlib, or Seaborn is a plus.
Ability to write clean, maintainable, and well-documented code.
Previous freelancing experience is a bonus.