PP - Software Engineer with Data - 219

We are seeking a **Senior Python Software Engineer** to join the Credit Platform Data team. This role is strongly focused on **software development and engineering best practices**, **with data as a domain** rather than the primary discipline. You will be responsible for **designing and building a scalable data ingestion and transformation framework** that enables internal teams to inject data, apply standardized transformations, and **generate reliable reports and dashboards**. This includes not only building robust backend systems, but also **ensuring correctness and quality through comprehensive automated testing across data pipelines, reporting layers, and dashboards**. This role requires deep expertise in **Python, PySpark, and Pytest**, strong **Terraform** knowledge, and experience working in **fintech or banking environments**, where data accuracy, auditability, and reliability are critical. ### **Responsibilities** * Design and build **Python\-based software frameworks** for data ingestion, transformation, and reporting, following solid software engineering principles. * Develop reusable, maintainable, and well\-tested **core libraries and services** that standardize how data is injected, processed, and exposed. * Implement scalable data processing systems using **Python and PySpark**, focusing on performance, reliability, and extensibility. * Collaborate in the creation of **data transformation layers that feed analytical reports and dashboards**, ensuring consistency and correctness of outputs. * Write comprehensive **automated tests using Pytest**, covering: Core framework logic, Data transformations, Data quality validations, and Generated reports and dashboards. * Implement **automated data quality checks and validation processes** to ensure data integrity at scale. * Build and maintain **SQL scripts and database integrations** to support data workflows. * Use **Infrastructure as Code (Terraform)** to provision and manage cloud resources. * Monitor system health, troubleshoot production issues, and continuously improve performance and stability. * Create and maintain **design documents, runbooks, and technical documentation** for data systems. * Participate in **design reviews and code reviews**, promoting best practices in software engineering and testing. * Collaborate with product managers, analysts, and stakeholders to define requirements and deliverable timelines. **Requirements** * Bachelor’s degree in Computer Science, Engineering, or a related field. * **5\+ years of experience** as a Software Engineer, with a strong focus on backend or platform development. * **Strong software engineering background**, including system design, clean architecture, and maintainable codebases. * **Proficiency in Python**, including building frameworks and shared libraries. * Hands\-on experience with **Terraform** or similar Infrastructure as Code tools. * Strong experience with **PySpark** for large\-scale data processing. * Strong experience with **Pytest** and automated testing strategies for complex systems. * **Solid SQL knowledge** and experience working with relational databases. * Deep understanding of **ETL concepts** and data extraction, transformation, and loading processes. * **Fintech experience is a must\-have**, including familiarity with banking concepts such as: Credit products, Financial transactions, Regulatory requirements, Data accuracy and reconciliation. * Experience working in Linux/Unix environments and shell scripting. * Strong analytical, problem\-solving, and communication skills. * Ability to work collaboratively across engineering, data, and business teams.