Senior ETL Developer – Azure, AWS & Databricks

Toronto, ON
On-site
Posted Oct 10, 2026
1 position

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Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Design, develop, maintain, and optimize ETL pipelines and data integration processes for data warehouse and business intelligence solutions. Collaborate with stakeholders to validate requirements, ensure data quality, and produce technical documentation and maintainable data solutions.

Job details

Job Title: Senior ETL Developer – Azure, AWS & Databricks 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. Strong 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.

What you’ll do

Requirements

Requires hands-on experience with Azure data services, Databricks, and AWS data technologies, along with strong SQL, performance tuning, database administration, and data modeling expertise. Candidates should be familiar with Git, software development lifecycle practices, ETL scheduling, and technical documentation.