Data Engineer
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Summary
Senior data engineer (10+ yrs) designing enterprise data warehouses and BI solutions, centered on SAP Business Objects and SAP Data Services. Day to day: building ETL/ELT pipelines, dimensional models and dashboards with SQL/PLSQL, BI tools, and cloud warehouses such as Snowflake or Azure Synapse.
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.