Responsibilities

• Design, develop, and maintain scalable Python applications.
• Perform exploratory data analysis using Pandas, NumPy, and Matplotlib.
• Write scripts to handle and process data, automate workflows, and manage large datasets.
• Handle RESTful API integrations and data pipelines in Python.
• Operate efficiently in a Linux environment for development, scripting, and deployment.
• Maintain clean, modular, and well-documented code adhering to best practices and testing standards.
• Use Git for version control and collaborate with team members via pull requests and code reviews.
• Work in Agile Scrum teams, participate in sprint planning, stand-ups, and retrospectives.
• Collaborate with stakeholders and cross-functional teams to understand requirements and deliver solutions.
• Utilize IDEs such as PyCharm, VSCode, or similar for daily development.

Required Skills

• 8+ years of professional experience as a Python Developer.
• Strong expertise in Pandas, NumPy, and Matplotlib.
• Solid understanding of API integration using Python.
• Advanced proficiency in Linux-based development and scripting.
• Proficient with Git and modern development workflows.
• Comfortable using IDEs like PyCharm and VSCode.
• Strong analytical thinking, clean coding practices, and unit testing.
• Experience with Big Data technologies and libraries such as PySpark.
• Background in working with distributed data systems or large-scale data pipelines.

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