Build Dashboards: Create interactive, user-friendly BI reports;
Model Data: Develop and optimize tabular models using DAX;
Develop ETL Pipelines: Write and maintain SQL scripts to build robust data pipelines;
Collaborate: Work closely with team members to execute data projects and successfully complete tasks;
Ensure Quality: Manage workspaces, enforce security protocols, and optimize report performance.

3+ years of professional experience with SQL, ETL and Microsoft Data Warehousing;
Demonstrated experience in the design and development of SSIS packages, Power BI, and SQL Server Reporting Services (SSRS) tools;
Familiarity with Git or equivalent version control systems is preferred;
Experience with Cloud platforms, including Azure or Databricks, is advantageous;
Proficiency in current data warehousing methodologies, encompassing dimensional data modeling and ETL/ELT processes would be considered a plus;
A comprehensive understanding of Apache Spark, along with advanced skills in Python and database systems, would be considered as an asset;
Bachelor’s degree in Computer Science or Software Engineering.

BI Engineer

Key skills