Responsibilities

• Design, develop, and maintain robust Python and PySpark applications.
• Apply best practices in software engineering including unit testing (e.g., Pytest) and static code analysis (e.g., Pylint).
• Develop and optimize data processing workflows (ETL/ELT) using Python and PySpark.
• Integrate systems using APIs (REST) and work with formats such as XML and TS&T.
• Collaborate in an Agile development environment, participating in planning, code reviews, and delivery.
• Create high-level design documents and product specifications.
• Contribute to architectural decisions and system design patterns.
• Utilize version control systems, ticketing tools, and CI/CD pipelines.
• Work closely with cross-functional teams to ensure seamless integration and deployment.

Requirements

• 8+ years of professional experience in Python development.
• 5+ years hands-on experience with PySpark and enterprise data workflows.
• Strong understanding of algorithms, data structures, and software architecture.
• Proficient in at least one Python web framework (e.g., Django, Flask, Pyramid, Tornado).
• Familiarity with SSIS and enterprise schedulers is a plus.
• Experience across the full SDLC with strong documentation and design skills.
• Excellent problem-solving, communication, and leadership abilities.

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