Senior ETL Developer
Listed on 2026-02-28
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IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Overview
Our client, an innovative industry leader in the insurance domain, is looking for a Senior ETL Developer - Hybrid to join their growing team. The successful candidate will have extensive experience building reliable, scalable, and efficient data pipelines to operationalize high-quality data solutions that support enterprise reporting, analytics, and decision-making. This is a full-time permanent role, hybrid with 3 days per week in office (Oakville).
Candidates must be based in and legally eligible to work for any employer in Canada. 2 managerial references required; criminal, credit, education, and employment back checks required.
To apply , send your current CV directly to SHERYL.SA
.
Please note: Due to high application volumes, only candidates who meet the outlined requirements will be contacted for further discussion.
AdvantagesWork on a dynamic team with cutting-edge technology on innovative products in the insurance domain. Our client offers a competitive salary and benefits package. The Great Place to Work Institute has named our client one of Canada’s Top 50 Best Workplaces, Best Workplaces in Canada for Financial Services & Insurance, Best Workplaces in Canada for Women, Best Workplaces in Canada for Inclusion and Best Workplaces in Canada for Mental Wellness.
They are also recognized as one of Achievers 50 Most Engaged Workplaces in North America.
The Senior ETL Developer - Hybrid will have extensive experience building reliable, scalable, and efficient data pipelines to operationalize high-quality data solutions that support enterprise reporting, analytics, and decision-making.
QualificationsMust-have Qualifications
- Data modeling in BI/Analytics, data warehouses, or data marts - 5-7Y+
- Data modeling tools such as ER/Studio, Erwin, or equivalent - 3-5Y+
- Relational and dimensional modeling (star/snowflake schemas) - 3-5Y+
- Advanced SQL, SQL Server and related MS stack components - 3-5Y+
- Designing and implementing data models that support Power BI - 3-5Y+
- Synapse, Azure Data Factory Databricks, or SSIS - 3-5Y+
- Azure cloud data services like Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Delta Lake - 2-4Y+
- Metadata management, data lineage, and data governance frameworks - 3-5Y+
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field - 3-4Y+
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