Senior ETL Developer

Toronto, ON
On-site
Posted Oct 9, 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, and maintain database backends and ETL applications for data warehouse and business intelligence solutions. Build and expand data pipelines, write high-quality code, and test, debug, and document applications.

Job details

Our Toronto based client is hiring an Sr. ETL Developer for a 9-month contract opportunity. Must Have • Experience with the Microsoft suite of technology including: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI • Experience with Databricks Platform • Experience with the Amazon Web Services (AWS) suite of technology including: Amazon Aurora, Amazon Relational Database Search, Glue, OpenSearch, etc. • Experience with developing data extraction, transformation, and load programs (daily and initial load) functionality on a wide range of data repositories (structured and semi-structured files, relational and multi-dimensional data stores) • Experience with developing, implementing, and maintaining schedule/dependency logic for Extract Transform Load (ETL) scripts • Experience with data integration, data cleansing, and data analytics Key Responsibilities • Designs, develops, and maintains database backend and ETL applications for Data Warehouse and Business Intelligence solutions. • Uses knowledge of ETL languages and development techniques to build and expand application functionality by writing high quality code using appropriate patterns. • Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities. • Tests and debugs applications and ensures that software is properly documented. Please apply today!

What you’ll do

Requirements

Requires experience with Microsoft Azure data technologies, Power BI, Databricks, and AWS services, as well as developing ETL programs for structured and semi-structured data repositories. Candidates should also have experience with ETL scheduling and dependencies, data integration, data cleansing, and data analytics.