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Azure Data Engineer

2 months ago

Toronto, Ontario, Canada Procom Labs Full time
About the Role

We are seeking a highly skilled Data Engineer to join our team at Procom Labs. As a key member of our Business Intelligence team, you will be responsible for designing and implementing Azure Data Factory pipelines, as well as optimizing data refresh performance.

The ideal candidate will have a strong understanding of data architecture and cloud-based data services, particularly within the Microsoft Azure platform. You will work closely with our BI Manager to ensure the efficient operation and maintenance of our data warehouse and Power BI Semantic Data Model.

Responsibilities
  • Develop and implement data solutions using Azure cloud management tools.
  • Design and develop Power BI Semantic models and custom reporting.
  • Design and develop Star Schema for Power BI Data Models.
  • Manage data storage and data processing solutions in Azure.
  • Integrate data sources and build data pipelines for data transformation and ingestion.
  • Implement data security and governance measures in Azure.
  • Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
  • Collaborate with data scientists and analysts to understand data needs and create effective data workflows.
Qualifications
  • 5+ years of experience in a Data Engineering role.
Required Skills
  • 4+ years of proven experience building data pipelines using MSFT Azure tools and services.
  • 3+ years of experience in Power BI Modeling and Reporting.
  • Azure Expertise: Proficiency in designing comprehensive Azure solutions.
  • Database Management: Proficiency in managing database systems.
  • Analytical Skills: Strong ability to analyze and solve complex problems.
  • Data Modeling and Architecture: Expertise in designing data models and architectural frameworks.
  • Programming Proficiency: Knowledge of SQL, Python, DAX & M is essential.
  • Data Pipeline Construction: Experience in building data pipelines and applying data transformations.
  • Data Source Evaluation: Ability to assess the effectiveness and accuracy of new data sources.
  • Data Transformation and Modeling: Ability to work on various aspects of data transformations and data modeling.
  • Cloud-Based Analytics Tools: Familiarity with Azure cloud-based analytics solutions.

We are a group of people that love to try out creative and sometimes crazy solutions to solve complex problems. We want you to join us in our journey to build a world-class digital ecosystem of products to find, employ, and manage the contingent workforce of today and tomorrow.