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Bevertec

Software Developer - ETL - Senior

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 7, 2026
Posting language: English
Posted: Oct 8, 2026

Original job description

Job Role: Software Developer - ETL - Senior

Location : Toronto, ON/Onsite

Position Type : Contract Role

Start Date

2027-01-05

End Date

2027-10-05

5 days Onsite in a week

Ideal Candidate Rate: CAD 90-95/Hr (Depending on the experience)

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
Experience with data modeling and design principles for data marts and data warehouses
Experience in database management and administration

Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.

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More about this job

Responsibilities

Develop and maintain ETL programs for daily and initial data loads across structured and semi-structured files, relational databases, and multidimensional data stores. Implement and maintain ETL scheduling and dependency logic, and support data integration, cleansing, analytics, data modeling, and database administration.

Requirements

Candidates must have experience with Microsoft Azure data technologies, Power BI, Databricks, and AWS data services. They must also have experience developing ETL processes, managing schedules and dependencies, integrating and cleansing data, designing data marts and warehouses, and administering databases.

Skills

Azure Data Factory
Azure SQL Database
Azure Data Lake
Power BI
Databricks
Amazon Aurora
Amazon Relational Database Service
AWS Glue
OpenSearch
ETL Development
Data Integration
Data Cleansing
Data Analytics
Data Modeling
Data Warehouse Design
Database Administration

Visa sponsorship

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Keywords

Microsoft Azure
Azure Data Factory
Azure SQL Database
Azure Data Lake
Power BI
Databricks
Amazon Web Services
Amazon Aurora
Amazon Relational Database Service
AWS Glue
OpenSearch
Extract, Transform, Load
ETL
Daily Data Loads
Initial Data Loads
Structured Data
Semi-Structured Data
Relational Databases
Multidimensional Data Stores
ETL Scheduling
Dependency Logic
Data Integration
Data Cleansing
Data Analytics
Data Modeling
Data Marts
Data Warehouses
Database Management
Database Administration

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