Primary Responsibilities

• Design, develop, and maintain high-quality Python and PySpark applications.
• Build and optimize data pipelines, ETL/ELT workflows, and data integrations.
• Write clean, maintainable, and efficient code following best practices and architectural patterns.
• Perform unit testing using tools like Pytest, and ensure code quality using Pylint or similar tools.
• Work with tSQL, XML, enterprise schedulers, and other related technologies.
• Collaborate closely with product owners, architects, and other developers to define requirements and develop technical solutions.
• Participate in all phases of the SDLC—design, development, testing, deployment, and support.
• Create high-level product specifications, design documents, and technical documentation.
• Utilize version control, ticketing systems, and CI/CD pipelines for effective development workflows.
• Consume and integrate APIs (REST and others) into applications.
• Contribute to Agile ceremonies, sprints, and collaborative development processes.
• Provide technical leadership and guidance to junior developers as needed.

Required Skills & Experience

• 4+ years of hands-on experience in Python development.
• Strong experience with PySpark for distributed data processing.
• Proficiency with Python testing tools (Pytest) and code analysis tools (Pylint).
• Expertise in tSQL, XML, and enterprise job schedulers.
• Strong understanding of algorithms, data structures, and design patterns.
• Solid background in software development and full SDLC.
• Experience with Python web frameworks such as Django, Flask, Pyramid, or Tornado.
• Experience in ETL/ELT integration using Python; familiarity with SSIS is a plus.
• Hands-on experience with Git or other version control systems, ticketing tools (JIRA, etc.), and CI/CD pipelines.
• Experience working in Agile development environments.
• Experience consuming REST APIs and working with modern API standards.

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