Iris's client, one of the world's largest multinational investment banking and financial services corporation is looking to hire a Python Developer Our direct client is a is a world-leading financial services company, provides consumers, corporations, governments, and institutions with a broad range of financial services and products.
Title: Python Developer
Location: Toronto, ON (Hybrid)
Duration: 24 Months
Job Description:
- We are seeking a skilled Python Developer to join our data engineering team. You will design, develop, and maintain high-performance data processing pipelines using modern Python frameworks and tools. In this role, you'll work with large-scale datasets, containerized systems, and distributed computing platforms to deliver robust data solutions.
Key Responsibilities:
- Develop and optimize data manipulation workflows using pandas and polars to handle large datasets efficiently. Design and implement containerized applications using Docker and Kubernetes to ensure scalable, reliable deployments. Build and maintain data pipelines integrating with ClickHouse columnar databases for analytical workloads. Develop event-driven architectures using NATS messaging systems for asynchronous data processing. Write comprehensive unit tests using pytest to ensure code quality and reliability. Implement distributed computing solutions with Dask for processing data beyond single-machine memory constraints. Manage version control using Git and collaborate on code repositories following best practices.
Skills and Experience:
- Python & Data Processing: Advanced proficiency in pandas and polars for data manipulation, transformation, and analysis. Experience optimizing code performance for large datasets.
- Containerization & Orchestration: Hands-on experience with Docker for building container images and composing multi-container applications. Knowledge of Kubernetes for container orchestration and deployment management.
- Data Infrastructure: Working knowledge of ClickHouse or similar columnar databases for OLAP workloads and analytical queries.
- Messaging & Streaming: Familiarity with NATS.io for building message-driven systems and asynchronous workflows.
- Testing & Quality Assurance: Proficiency with pytest for writing unit tests, integration tests, and maintaining code coverage standards.
- Distributed Computing: Experience with Dask for parallel processing and handling out-of-core computations.
- Version Control: Strong command of Git workflows, branching strategies, and collaborative development practices.
Preferred Qualifications:
- Experience with additional Python libraries for data science and machine learning. Familiarity with CI/CD pipelines and DevOps practices. Background in financial services or capital markets data systems.
About Iris Software Inc.
Iris Software, Inc. (registered as SSA Infosystems in Canada) is a CMMi Level 5 New Jersey based company providing information technology solutions to clients nationwide for over 30 years. Iris has been growing at over 100% annually. In a program sponsored by Price Waterhouse, PNC Bank and Marsh, Iris has been honored for being
- One of New Jersey's Finest 25 companies for the year 2001 and 2002.
- Iris is also ranked 75th among Inc 500 s list of privately held companies for year 2001.
- NJ Technology FAST 50 Company for year 2002.
In a competitive industry, we distinguish ourselves by reliability, technical expertise and a history of successfully completed projects for clients ranging from mid-sized to Fortune 1000 companies.
Regards,
Neeraj Singh
Executive - TA
