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Data Developer

7 hours ago

Calgary, Canada MNP Full time

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 development Strong ability to work with structured and semi-structured data Proficient in SQL and Python (PySpark) for data engineering and transformation Practical experience with notebook-based engineering environment (e.g., Microsoft Fabric, Azure Synapse Analytics, Jupyter) or other widely used enterprise or cloud-based data notebooks Hands-on experience with cloud-based data services; Microsoft Azure and Fabric are assets Understanding of database architectures and design principles, including data warehousing, non-relational databases and medallion architecture concepts Strong analytical, problem-solving, and critical thinking skills Excellent written and verbal communication, with the ability to convey technical concepts to non-technical stakeholders Detail-oriented and committed to delivering high-quality solutions Experience in the accounting and professional services industry is an asset