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 DevOps and enterprise data integration.

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

Key Responsibilities

• 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.
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