Python​/PySpark Developer

We are seeking an experienced Python/PySpark Developer to design, develop, and optimize data-driven applications and solutions.

The ideal candidate will have strong expertise in Python, PySpark, and Databricks, along with experience in Azure Dev Ops and enterprise data integration.

This role requires a deep understanding of algorithms, data structures, and best practices for building scalable and efficient systems.

• Develop and maintain applications using Python and PySpark.
• Implement ETL/ELT processes and integrate data pipelines.
• Utilize Databricks for data processing and analytics.
• Perform code testing and analysis using tools such as Pytest and Pylint.
• Collaborate with cross-functional teams to design and deliver high-quality solutions.
• Apply architectural design patterns and best practices throughout the SDLC.
• Consume APIs (REST and others) for data integration.
• Work in an Agile development environment and participate in sprint planning and reviews.
• Use version control, ticketing systems, and CI/CD workflows for efficient development.

• Overall 10+ years of software development experience.
• Minimum 6 years of hands-on Python development experience.
• Strong experience with PySpark and Databricks.
• Proficiency in Azure Dev Ops and CI/CD practices.
• Experience with Python testing and code analysis tools (Pytest, Pylint).
• At least 4 years of full-time development experience using Python.
• At least 4 years working with T-SQL, XML, and enterprise schedulers.
• Solid understanding of algorithms, data structures, and architectural design patterns.
• Extensive experience in software development and SDLC.
• Familiarity with frameworks such as Django, Flask, Pyramid, or Tornado.
• Integration experience (ETL, ELT) with Python; SSIS knowledge is a plus.
• Strong analytical mindset and ability to create high-level product specifications and design documents.
• Proven collaboration and influencing skills.

• Experience with API management and advanced data integration techniques.
• Familiarity with cloud platforms and distributed systems.
• Exposure to Agile methodologies and tools like Jira.