Python & Database Developer

Axelon Services Corporation; Montreal (administrative region); Hybrid; CAD 90,000 - 120,000; Full time

Job summary

Axelon Services Corporation in Montreal is seeking a skilled data engineer to build and maintain production-grade data pipelines using Python and FastAPI. The role requires strong SQL skills and experience with Unix-based systems in a hybrid work setting.

You will collaborate with the PANDQ team to ensure data quality and consistency across applications, write and optimize queries, and participate in code reviews and testing to ensure reliable data services.

Qualifications

• Minimum 5 years of experience in data engineering or a related field.
• Strong Python skills and object-oriented programming knowledge.

Responsibilities

• Develop and maintain production-grade data processing pipelines using Python.
• Write and optimize SQL queries and stored procedures.
• Build service endpoints and asynchronous processing systems using the FastAPI framework.
• Collaborate with the PANDQ team to ensure data quality and consistency across applications.
• Utilize version control tools for code management.
• Conduct unit testing to ensure code quality and reliability.

Skills

Python

OOP

SQL

Unix

Git

FastAPI

Pandas

AI/ML concepts

Tools

Docker

Conda

Unix shell

Job description

Summary

Location:

Montreal

Work Mode:

Hybrid (day 1 onboarding onsite/in-office presence required 3x/week)

Years of Experience:

Minimum 5 years

Responsibilities

• Develop and maintain production-grade data processing pipelines using Python.
• Write and optimize SQL queries and stored procedures.
• Build service endpoints and asynchronous processing systems using the FastAPI framework.
• Collaborate with the PANDQ team to ensure data quality and consistency across applications.
• Utilize version control tools for code management.
• Conduct unit testing to ensure code quality and reliability.

Requirements

• Strong proficiency in Python and experience with object-oriented programming (OOP).
• Good knowledge of database concepts and query optimization.
• Working knowledge of Unix systems.
• Experience with version control tools, preferably Git.
• Ability to work in a fast-paced environment and manage multiple projects simultaneously.

Preferred Skills

• Experience working in Agile Squads.
• Finance data domain knowledge.
• Understanding of model performance monitoring, debugging, and logging systems within AI applications.
• Experience with containerization and deployment of ML services in enterprise environments.
• Experience with anomaly detection algorithms and techniques, such as isolation forest, clustering, time series analysis, and pattern mining.
• Expertise in designing and deploying generative AI solutions using LLMs and multimodal models.
• Proficiency in pandas and familiarity with scikit-learn for data manipulation and machine learning model implementation.

This role is for an existing vacancy.