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Software Developer - ETL - Senior

  • Toronto, ON, Canada

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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.

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

Not detected in the job text

Categories

  • Software
  • Data & Analytics
  • Technology

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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