Risk Engineerinng - Python- Data Engineers - Manager

Job Description

We are looking for a skilled RCE-Risk Data Engineer-Lead with 8-10 years of relevant experience to join our team. The ideal candidate will have strong technical skills, an eagerness to learn, and a keen interest in Financial Crime, Financial Risk, and Compliance technology transformation. ### Roles and Responsibility Develop, maintain, and optimize backend systems and RESTful APIs using Python and Flask. Design and implement concurrent processing strategies and performance optimization for complex architectures. Write clean, maintainable, and well-documented code. Develop comprehensive test suites to ensure code quality and reliability. Work independently to deliver features and fix issues, with some overlap for real-time collaboration. Integrate backend services with databases and APIs. Collaborate asynchronously with cross-functional team members. Participate in occasional team meetings, code reviews, and planning sessions. ### Job Requirements Minimum 6+ years of professional Python development experience. Strong understanding of Computer Science fundamentals (Data Structures, Algorithms). Experience with Flask and Restful API Development. Knowledge of container technologies (Docker, Kubernetes). Proficiency in implementing interfaces in Python. Familiarity with Python generators for efficient memory management. Good understanding of Pandas, NumPy, and Matplotlib libraries for data analytics and reporting. Understanding of multi-threading and parallelism in Python. Knowledge of Global interpreter lock (GIL) in Python and its implications on multithreading and multiprocessing. Experience with SQL alchemy for database interaction. Knowledge of implementing ETL transformations using Python libraries. Ability to collaborate with cross-functional teams to ensure successful implementation techniques of list compressions in Python.