We are seeking a

Senior ETL Developer

to design, develop, maintain, and optimize data pipelines supporting Data Warehouse and Business Intelligence solutions. Develop and maintain ETL processes for initial and daily data loads across structured, semi-structured, relational, and multidimensional data sources. Hands‑on experience with

Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI . Experience with the

Databricks Platform

and AWS data technologies, including

AWS Glue, Amazon Aurora, and OpenSearch . Build and maintain ETL scheduling, job dependencies, data integration, data cleansing, and data quality processes. Robust expertise in

complex SQL queries, performance tuning, database administration, and data modeling

for data warehouses and data marts. Use





Git and source control strategies

while following software development lifecycle practices, including development, testing, QA, and delivery. Prepare technical documentation, including ETL source-to-target mappings, data models, architecture artifacts, and detailed design documents. Collaborate with business stakeholders to gather, document, and validate requirements while ensuring scalable, maintainable, and high‑quality data solutions. Nice to have:

C#, APIs, Azure Functions, PowerShell, dashboard/report development, and knowledge of AODA standards.

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📌 Senior ETL Developer – Azure, AWS & Databricks (Toronto)
🏢 ThoughtStorm
📍 Toronto