Data Engineer

Our client, a respected leader in real estate debt and investment, has built a strong reputation on excellence, trusted partnerships, and unique solutions.

Established in 2006, their business covers a range of services including real estate private equity, real estate lending, and private equity investments in real estate auxiliary businesses.

With over $1 billion in funded investments and over $500 million in managed assets, their team of finance experts shares the common aim of creating wealth for clients, partners, and communities.

They are seeking a Data Engineer for their team in Edmonton Alberta.

This role presents a fantastic opportunity for a proactive, driven individual looking to enhance their career within a rapidly expanding business.

The successful candidate should be proficient in data engineering and business intelligence fundamentals, exhibit strong communication skills, problem-solving skills, and be a cooperative team player aligning with the company's growth-oriented approach.

Key Responsibilities :

• Managing enterprise-wide data warehousing in conjunction with Azure and Microsoft Fabric.
• Dimensional modelling according to Kimball / star-schema principles.
• Managing ETL processes using Data Factory, Dataflows Gen 2, and Notebooks in Microsoft Fabric.
• Developing and maintaining Power BI reports for business units.
• Performance optimizing SQL and DAX within the data warehouse, ETL, and BI systems.
• Maintaining the data platforms.

Required Skills and Experience :

• Proficiency with Azure data engineering technologies, such as ADLS Gen 2, Azure Data Factory, Azure SQL Database, etc.
• SQL querying.
• Knowledge of Kimball enterprise data warehousing and dimensional modelling principles.
• ETL system development using Data Factory, Dataflows Gen 2, and Power Query.
• Analysis Services tabular model development using Power BI.
• Advanced DAX.
• Power BI reports and dashboards creation.
• Ability to propose solutions based on Microsoft MVP & SQLBI articles, Microsoft documentation, whitepapers, and community publications.

Additional skills would be beneficial :

• Azure administration, SQL optimization.
• Advanced Power Query development.
• ETL system development using Fabric Notebooks or Jupyter Notebooks.
• Performance optimization using DAX Studio.
• Power BI paginated reports development.
• Knowledge of APIs and Postman.
• Experience with Python data science and visualization libraries.

The ideal candidate will be a part of an enthusiastic team, helping to align and scale the data and BI architecture with the company's growth.

If you are available immediately with the requirements listed above, click the Apply Now! link. For assistance with applying, please call Robert Half at (403) 264-5301 quoting job reference number 05110-0013113419.

Robert Half would like to thank all applicants for their expressed interest however, only those candidates identified for interview will be contacted.

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