Senior Python Developer

NTT DATA North America; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

Join a forward-thinking organization as a Senior Python Developer, where you'll leverage your expertise to build a cutting-edge electronic communications surveillance system. This role offers the opportunity to work with advanced technologies, including AWS and Apache Kafka, to ensure compliance and security across various communication channels. Collaborate with cross-functional teams to design scalable solutions while writing high-performance, low-latency code. If you're passionate about innovation and want to make a significant impact in a dynamic environment, this position is perfect for you.

Qualifications

• 5+ years of experience in Python development for large-scale systems.
• Strong understanding of data structures and design patterns.

Responsibilities

• Design and implement a surveillance system for real-time monitoring.
• Write high-performance Python code for processing millions of messages.

Skills

Python

Data Structures

Design Patterns

Java

Problem Solving

Education

Bachelor’s degree in Computer Science

Tools

Apache Kafka

Amazon AWS

Postgres SQL

Collibra

Apache Airflow

Jenkins

Docker

Artifactory

Job description

Join to apply for the Senior Python Developer role at NTT DATA North America.

Company Overview

NTT DATA strives to hire exceptional, innovative, and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

Job Description

We are seeking a highly skilled Senior Python Developer with over 5 years of experience to join our team in New York City to develop a state-of-the-art electronic communications surveillance system. This system will monitor all voice communications, chats, and email messages of employees across the firm, ensuring compliance and security. The ideal candidate will have a proven track record in writing high-performance, low-latency code capable of processing millions of messages daily, with expertise in Python, a solid understanding of data structures, design patterns, and familiarity with Java.

Job Responsibilities

1. Design, develop, and implement a robust surveillance system from the ground up to monitor electronic communications in real-time.
2. Write high-performance, low-latency Python code to handle large-scale message processing (millions of messages per day).
3. Collaborate with cross-functional teams to define system architecture and ensure scalability, reliability, and maintainability.
4. Optimize data processing pipelines using Apache Kafka for real-time message streaming.
5. Leverage Amazon AWS for cloud-based infrastructure, ensuring secure and efficient deployment.
6. Design and maintain database schemas in Postgres SQL for efficient data storage and retrieval.
7. Integrate Collibra for data governance and metadata management.
8. Utilize Airflow for workflow orchestration and scheduling.
9. Implement CI/CD pipelines using Jenkins and manage containerized applications with Docker.
10. Use Artifactory for artifact management and dependency tracking.
11. Apply advanced knowledge of data structures and design patterns to create clean, modular, and reusable code.
12. Contribute to code reviews, testing, and documentation to maintain high-quality standards.

Basic Qualifications

1. 5+ years of professional software development experience with a focus on Python.
2. 5+ years of expertise in writing high-performance, low-latency Python code for large-scale systems.
3. 5+ years of experience with data structures, algorithms, and design patterns.

Preferred Skills

1. Familiarity with Java for cross-language integration and support.
2. Hands-on experience with Apache Kafka for real-time data streaming.
3. Proficiency in Amazon AWS services (e.g., EC2, S3, Lambda, RDS).
4. Experience with Postgres SQL for relational database management.
5. Knowledge of Collibra for data governance (preferred).
6. Familiarity with Apache Airflow for workflow orchestration.
7. Experience with Jenkins CI for continuous integration and deployment.
8. Proficiency in Docker for containerization and Artifactory for artifact management.
9. Strong problem-solving skills and attention to detail.
10. Ability to work independently and collaboratively in a fast-paced environment.
11. Excellent communication skills to articulate technical concepts to non-technical stakeholders.
12. Experience in financial services or compliance systems.
13. Familiarity with surveillance or monitoring systems for voice, chat, or email communications.

Education

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).