Job Details
Description
Inspirational, innovative and entrepreneurial - this is how we describe our empowered teams. Combine your passion with purpose and join a culture that is thriving in the face of change.
Combine your passion with purpose and join MNP’s Data and Analytics team as a Manager, Data Engineering and Machine Learning.
Work with tech-savvy problem solvers who embrace digital transformation and the possibilities technology brings to the future of our industry.
You’ll make an impact by designing, developing and maintaining innovative, high-quality solutions that are defining the way MNP does business.
MNP is proudly Canadian. Providing business strategies and solutions, we are a leading national accounting, tax and business advisory firm in Canada.
Entrepreneurial to our core, our talented team members transcend obstacles into opportunities and are successfully transforming mid-market business practices.
Responsibilities
- Data Engineering Work alongside the Data Science, Technology Development, and business teams in the further development of MNP’s Enterprise Analytics programAssist with the development and maintenance of our Azure data platform, which uses a data Lakehouse architecture and utilizes;
- Azure Databricks and Delta, Data Factory, Azure Data Lake storage, Azure SQL and Power PlatformPlay a leadership role in the development of the data architecture, developing a strong understanding of business processes and transforming and modelling data for analytical consumptionDevelop scripts and stored procedures for data extraction, load, and transformation processesPerformance monitor and orchestrate all analytical data related processesAssist with platform monitoring;
security, governance (Unity Catalog), pipelines, costs, user access, and related tasksSupport CI / CD pipelines in Azure DevOps (YAML)
Machine Learning & Data Science Support the data science and ML team with project planning, model / pipeline design and best practicesSupport the data science and ML team with the productionization of products utilizing the Databricks Intelligence Platform (MLFlow, Model Serving, Feature Store, Vector Search, and related tasksAssist with the design, development and productionization of any new Gen AI / RAG / LLM initiatives
Skills and Experience
- Five (5) or more years of professional experience in a data engineering, data architecture, or BI development roles
- Three (3) or more years of hands-on experience using Databricks (Notebooks, Workflows, Lakehouse Architecture, Delta Tables, Delta Live Tables, MLFlow, Vector Search, Feature Store, Unity Catalog, or Lakehouse Federation
- Experience in data integration, transformation, preparation and data modeling
- Experience with : ETL / ELT Data pipeline development using ADFAzure SQL server and other Azure cloud data servicesAzure DevOps CICD PipelinesPower Platform would be considered an asset (Power BI, Power Apps and Power Automate)
- Strong understanding of Databricks Lakehouse Architecture and best practices
- Hands on experience working with business intelligence and development teams
- Willingness to develop a thorough understanding of MNP's services, businesses and industry
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