*Senior Data Engineer

Job Description

Senior Data Engineer

We’re seeking a talented data expert to join our client in the mining and metals industry for an exciting 4-month contract, with the potential for extension.

In this role, you'll dive into large-scale data challenges, working on cutting-edge analytics to drive smarter decision-making and improve business operations.

You'll enjoy a flexible work setup, with 35 hours per week and two days in the Montréal office. English is required, and bilingual proficiency in French is a plus.

What is in it for you :

• Salaried : $93 to $102 per hour.
• Incorporated Business Rate : $103 to $109 per hour.
• 4-month contract.
• Full-time position : 35 hours per week.
• Hybrid work : 2 days per week at the office.
• Join a passionate and inclusive team of professionals.

Responsibilities :

• Design, build, and integrate data from various resources to manage large datasets for data scientists
• Engineer data pipelines from source systems to predictive models
• Apply best practices in software engineering to extend Machine Learning (ML) prototypes into fully functional products
• Develop and implement GenAI solutions
• Mentor and coach junior team members on project tasks
• Ensure the highest quality assurance and control for all data analytics products
• Share intellectual property and developments through GitHub to promote team learning and future improvements
• Engage with clients and stakeholders to build understanding and use of data analytics solutions
• Provide training and support for deploying and maintaining analytics products

What you will need to succeed :

• Master’s degree in software engineering, computer science, or equivalent professional experience.
• 5+ years of experience in data engineering, preferably using agile methodologies.
• AWS or Azure certifications are an asset.
• Proficiency in Linux workstation administration, including working with AWS Session Manager and command-line environments.
• Experience with cloud platforms (AWS, Azure).
• Strong development skills in Python and SQL.
• Experience with data storage technologies, data modeling, ETL tools, and API integrations.
• Containerized application development and deployment experience (Docker, Dockerfiles, Registry Management).
• Knowledge of DevOps processes such as CI / CD, automated testing, and monitoring dashboards.
• Expertise in machine learning project implementation, including libraries like Pandas, Numpy, and TensorFlow.
• Solution design experience for ML solutions focused on scalability, performance, and fault tolerance
• Proven experience working on GenAI solutions.
• French (spoken and written) is an asset.

Why Recruit Action?

Recruit Action (agency permit : AP-2000003) provides recruitment services through quality support and a personalized approach to job seekers and businesses.

Only candidates who match hiring criteria will be contacted.

RIOJP00023943