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Added 7 hours ago
T
Senior ETL Developer – Azure, AWS & Databricks
ThoughtStorm
Toronto, ON
- Contract
Added 7 hours ago
T
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ThoughtStorm
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- Contract
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ThoughtStorm

Senior ETL Developer – Azure, AWS & Databricks

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

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.

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More about this job

Responsibilities

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.

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.

Skills

ETL Development
Azure Data Factory
Azure SQL Database
Azure Data Lake
Power BI
Databricks
AWS Glue
Amazon Aurora
OpenSearch
SQL
Performance Tuning
Database Administration
Data Modeling
Data Warehousing
Data Quality
Git

Visa sponsorship

Not detected in the job text

Keywords

ETL
Data Pipelines
Data Warehouse
Business Intelligence
Azure Data Factory
Azure SQL Database
Azure Data Lake
Power BI
Databricks
AWS Glue
Amazon Aurora
OpenSearch
SQL
Performance Tuning
Database Administration
Data Modeling
Data Marts
Data Integration
Data Cleansing
Data Quality
ETL Scheduling
Git
Source-To-Target Mapping
C#
APIs
Azure Functions
PowerShell
Dashboard Development
AODA Standards

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