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.
Make an impact with our Technology - Development team as a Data Developer. This diverse team of tech-savvy builders and problem solvers embraces digital transformation, and the possibilities technology brings to the future of our industry. We’re looking for team members who have a strong sense of ownership and drive, and who thrive on delivering high-quality solutions that are redefining 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
- Assist in designing and implementing robust extract, transform, and load (ETL) and ELT (Extract, Load, Transform) processes
- Partner with cross-functional teams, including architects, data analysts and business users to create high-quality solutions
- Support data modelling initiatives to ensure data quality and accessibility
- Maintain and ensure data quality, integrity, security and consistency across multiple data sources and platforms
- Provide technical support and troubleshooting for database, pipeline and integrations issues where and when needed
- Monitor platform performance and optimize costs to ensure efficiency and scalability
- Communicate technical concepts effectively to non-technical audiences and contribute to process improvements
- Manage tasks independently while thriving in a collaborative environment
Skills and Experience
2+ years of experience in Data Engineering, ETL development, or Business Intelligence developmentStrong ability to work with structured and semi-structured dataProficient in SQL and Python (PySpark) for data engineering and transformationPractical experience with notebook-based engineering environment (e.g., Microsoft Fabric, Azure Synapse Analytics, Jupyter) or other widely used enterprise or cloud-based data notebooksHands-on experience with cloud-based data services; Microsoft Azure and Fabric are assetsUnderstanding of database architectures and design principles, including data warehousing, non-relational databases and medallion architecture conceptsStrong analytical, problem-solving, and critical thinking skillsExcellent written and verbal communication, with the ability to convey technical concepts to non-technical stakeholdersDetail-oriented and committed to delivering high-quality solutionsExperience in the accounting and professional services industry is an asset