Poste : Architect Data III
Durée : 5 mois
Lieu : 2 days per week in Montreal office
Titre Réel : Senior Data Engineer
- Diverse & challenging projects with our Data & Analytics team
- Apply your creativity to our huge mine and processing datasets
- Utilize your hands-on coding skills in Python, SQL and Cloud
- Work in a flexible work environment where we prioritise a healthy work / life balance
About the role
We are looking for a Senior Data Engineer to work with challenging and exciting analytics problems and make a positive impact to the business, while engaging with a global team of technology experts and engineers. This will involve gaining substantial experience working with our data systems to develop state-of-the-art data science solutions for our businesss data problems.
Reporting to the Principal Data Engineer you will support the Data Analytics team to design and continually improve services that solve business problems and provide insight to making improved decisions. You will utilize your strong hands-on coding skills and design skills to
Design, build, integrate data from various resources, and manage big datasets for data scientistsEngineer data pipelines from source systems to predictive modelsProvide expertise on software engineering best practices in extending Machine Learning (ML) prototypes into fully functional and polished end-products.Work on GenAI solutionsCoach and mentor junior team members on projectsYou will also support the team to :Ensure best in class processes and techniques to develop and deploy data analytics solutions to the businessEnsure the quality assurance and quality control of all data analytics products released to the businessCapture and record the intellectual property generated.Share what has been developed in GitHub to help foster a new generation of data driven decision makers and enable them to improve upon what has already been doneEngage with clients and key stakeholders to build their understanding of data analyticsProvide training and knowledge transfer to support the deployment and continuity of the analytics products developedAbout you
You will ideally have experience with some or all of the below :
Strong development skills in Python and SQL.Demonstrable experience with a range of data storage technologies and formats, data modeling and ETL tools, and API integrations.Experience in the implementation and industrialization of Machine learning projects, including familiarity with related libraries and frameworks (e,g., Pandas, Numpy, Sci-kit Learn, TensorFlow).Linux workstation and administration capabilities, including comfort working at the command line or over SSH, AWS Session Manager.Cloud providers such as AWS or AzureContainerized application development and deployment - Docker, Dockerfiles, Registry Management.Defining and implementing best practices for taking research PoC to production - Automate testing, CI / CD DevOps processes, unit testing / code coverage, monitoring dashboards, code review, deployment of data pipelines using AWS services and Python.Solution design & architecture of ML solutions aiming scalability, performance, fault tolerance, and speed.Minimum 5 years of experience in data engineering project delivery, preferably using agile methodologies and / or rapid prototyping.Demonstrable experience working on GenAI solutionsQualifications :
Masters in software engineering, computer science, or substantial experience and demonstration of equivalent skills.AWS or Azure certifications.Where you will be working
The Data Analytics team is focused on improving performance through smarter ways of working by driving an innovative and disruptive technology culture. By partnering with the clients product groups and functions, our team is developing innovative ideas to solve problems and enable better decisions through data analytics.
Fluid vous remercie de l'intérêt que vous portez à cette opportunité. Toutefois, seuls les candidats possédant les compétences requises seront contactés.
Fluid souscrit aux principes d'égalité d'accès à l'emploi et d'action positive. Nous accueillons et encourageons la diversité sur notre lieu de travail.
Les candidats doivent être qualifiés pour travailler au Canada.
