
Senior Software Developer ETL
Toronto, Ontario, Canada · Hybrid · Contract
Rate
CAD $80–$90/hr
Duration
12 months
How your profile and resume fit this job
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Tailor my Resume
Toronto, Ontario, Canada · Hybrid · Contract
Rate
CAD $80–$90/hr
Duration
12 months
Get AI-powered advice based on your Wirehead Score.
Tailor my ResumeRequirements: What you'll need
Skills, Knowledge, Experience, and Qualifications:
ETL Development-Data Integration
Extensive experience in gathering requirements and business process knowledge in order to design correct and high-quality data transformation.
Extensive experience in design, development, and implementation with Azure Data Factory, Databricks, including:
Self-Hosted Integration Runtime
Data movement, ETL pipelines
Performance tuning on large data volumes
Complex data transformations
ADF Debugger to validate data transformation.
Azure Roles
Experience with Informatica, including:
Workflow Manager
Repository Manager
Designer
Workflow Monitor
Experience with developing solutions using Logic App and Function App.
Experience in rapid application development (RAD) methodologies.
Experience in maintaining and improving existing ETL processes.
Experience in investigating data to identify potential issues within ETL pipelines.
Experience with Business Intelligence tools IBM Cognos and Microsoft PowerBI.
Azure Technologies
Experience with CI/CD (DevOps) pipelines and concepts, including:
Azure Resource Management
GitHub Repo
Source code version control
Branching, pull requests, build, release, multiple parallel development repositories merge.
Experience with Azure DevOps, including:
Azure Boards
Azure Test Plans
Azure Pipelines
Azure Repos
Azure Artefacts
Oracle PL/SQL Development
Extensive experience in designing and developing SQL Server Stored Procedure, Oracle PL/SQL programs.
Database Technologies
Experience with Oracle, Microsoft SQL Server database and tools.
Experience with relational and hierarchical database technologies.
Extensive knowledge of Azure SQL DB and Synapse platforms, including:
Performance tuning on large data volume
Must haves:
Extensive experience in gathering requirements and business process knowledge in order to design correct and high-quality data transformation.
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