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Data Engineer
Data EngineerMNP • Calgary, AB, Canadá
Data Engineer

Data Engineer

MNP • Calgary, AB, Canadá
5 days ago
Job type
  • Full-time
Job description

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 Data and Analytics team as a Data Engineer. This diverse team of tech-savvy problem solvers embraces digital transformation and the possibilities analytics brings to the future of our industry. As a trusted advisor, you’ll design, develop and maintain innovative, 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

  • Collaborate closely with the Power Platform, Data Science, Technology Development, and various business teams to enhance and evolve MNP’s Enterprise Analytics program
  • Design, develop, and maintain scalable data pipelines, leveraging Azure Databricks, Azure Data Factory (ADF), and associated Azure data platform components
  • Support the development and operation of a Data Lakehouse platform, incorporating Databricks, Delta Lake, Azure Data Lake Storage, Azure SQL, and Power Platform tools
  • Monitor platform performance and optimize costs to ensure efficiency and scalability
  • Assist in designing and implementing robust ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes
  • Support data modelling initiatives to ensure data quality and accessibility
  • Implement data security best practices, including defining and managing user access controls at scale
  • Contribute to automation and continuous integration / continuous deployment (CI / CD) practices using Azure DevOps
  • Develop a comprehensive understanding of MNP’s services, business models, and industry context to align data solutions effectively

Skills and Experience

  • 2+ years in Data Engineering, ETL development, or Business Intelligence development roles
  • Hands-on experience with Azure Data Factory, Azure Databricks (Spark), Databricks Asset Bundles, Azure SQL, Azure Data Lake Storage, and Azure DevOps
  • Strong expertise in working with both structured and semi-structured data formats (CSV, JSON, Parquet)
  • Experience working with OAuth 2.0 APIs as data sources
  • Proficiency in scripting languages, notably SQL and Python
  • Familiarity with operational OLTP and analytical OLAP databases
  • Understanding of Data Lakehouse architecture and Medallion architecture best practices
  • Experience with Databricks; Unity Catalog, Lakebase, Apps and workflow orchestration is highly desirable
  • Experience in the following would be considered an asset :
  • MLOps and LLMOps within the Databricks
  • Exposure to Power BI and Power BI Embedded
  • Familiarity with development frameworks or languages such as .Net Core, C#.NET, JavaScript, or CSS
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    Data Engineer • Calgary, AB, Canadá

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