Data Engineer

Requirements

• University degree in IT combined with relevant IT professional experience of at least 10 years;
• At least 10 years of practical experience with SAP Business Objects is required;
• At least 8 years of practical experience with SAP Data Services is also Required;
• Excellent knowledge of enterprise data warehouse design and architecture, including dimensional modelling and star/snowflake schema design;
• Excellent knowledge of relational database systems applied to data warehousing;
• Excellent knowledge of SQL and PLSQL;
• Excellent knowledge of BI reporting and analytics tools (e.g., SAP Business Objects, Power BI, Tableau, Qlik) for enterprise dashboards and self-service analytics;
• Excellent knowledge of ETL and ELT tools (e.g., SAP DataServices, Informatica, Talend, dbt, Azure Data Factory) to manage enterprise data pipelines;
• Knowledge of non-relational databases (e.g., MongoDB, Cassandra, Hadoop HBase) for handling unstructured and semi-structured data would be an asset;
• Knowledge of SAP BO universe design and SAP BO admin;
• Knowledge of data lake and lakehouse design patterns (e.g., Delta Lake, Apache Iceberg) to support large-scale analytics would be an asset;
• Knowledge of modelling tools to design data models;
• Knowledge of OLAP technologies and data mining tools;
• Knowledge of cloud BI architectures (e.g., Azure Synapse, Snowflake, AWS Redshift) to enable scalable analytics would be an asset;
• Excellent command of the English language, French will be considered as an asset.