Job Duties: Morgan Stanley is seeking a highly skilled Senior Python Developer with over 5 years of experience to join our team in developing a state-of-the-art electronic communications surveillance system. Design, develop, and implement a robust surveillance system from the ground up to monitor electronic communications in real-time. Write high-performance, low-latency Python code to handle large-scale message processing (millions of messages per day). Collaborate with cross-functional teams to define system architecture and ensure scalability, reliability, and maintainability. Optimize data processing pipelines using Apache Kafka for real-time message streaming. Leverage Amazon AWS for cloud-based infrastructure, ensuring secure and efficient deployment. Design and maintain database schemas in Postgres SQL for efficient data storage and retrieval. Integrate Collibra for data governance and metadata management. Utilize Airflow for workflow orchestration and scheduling. Implement CI/CD pipelines using Jenkins and manage containerized applications with Docker. Use Artifactory for artifact management and dependency tracking. Apply advanced knowledge of data structures and design patterns to create clean, modular, and reusable code. Contribute to code reviews, testing, and documentation to maintain high-quality standards. Minimum Skills Required: * Experience:



5+ years of professional software development experience, with a focus on Python. o Expertise in writing high-performance, low-latency Python code for large-scale systems. o Strong understanding of data structures, algorithms, and design patterns. o Familiarity with Java for cross-language integration and support. o Hands-on experience with Apache Kafka for real-time data streaming. o Proficiency in Amazon AWS services (e.g., EC2, S3, Lambda, RDS). o Experience with Postgres SQL for relational database management. o Knowledge of Collibra for data governance (preferred). o Familiarity with Apache Airflow for workflow orchestration. o Experience with Jenkins CI for continuous integration and deployment. o Proficiency in Docker for containerization and Artifactory for artifact management. o Strong problem-solving skills and attention to detail. o Ability to work independently and collaboratively in a rapid-paced environment. o Excellent communication skills to articulate technical concepts to non-technical stakeholders. Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). Familiarity with surveillance or monitoring systems for voice, chat, or email communications. Knowledge of regulatory requirements in the financial industry

📌 Python Engineer (Bengaluru)
🏢 NTT Data
📍 Bengaluru