We are seeking a highly skilled Sr. Python Developer with a strong background in the financial sector. The ideal candidate will possess hands-on expertise in Python and related technologies. This role requires a deep understanding of data processing and cloud services, and the ability to contribute to a dynamic Agile team.

Responsibilities

• Develop and maintain robust data processing pipelines using Python, PySpark, and Pandas/Polars.
• Collaborate with cross-functional teams to design and implement data solutions on Databricks.
• Leverage AWS services to optimize cloud infrastructure and ensure scalability and performance.
• Implement Infrastructure as Code (IaC) using Terraform for efficient resource management.
• Write unit and integration tests using established testing frameworks to ensure code quality.
• Participate in Agile ceremonies, contributing to sprint planning, retrospectives, and daily stand-ups.

Must-Have Skills

• Extensive experience in Python programming, with a strong focus on data manipulation and analysis.
• Proficient in using PySpark for big data processing and analytics.
• Experience with data manipulation libraries such as Pandas and Polars.
• Familiarity with Databricks for data engineering and analytics solutions.
• Knowledge of AWS services (e.g., S3, EC2, Lambda) and their integration with data processing workflows.
• Experience with Terraform for managing cloud infrastructure.
• Familiarity with testing frameworks (e.g., PyTest, Unittest) to ensure high code quality.
• Strong understanding of Agile principles and practices.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in Python development, with a focus on data-centric applications.
• Proven experience in the banking or financial services domain.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

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