Job description
We do have a job opening for Software Developer
- ETL
- Senior for our direct client Province of Ontario. The position details are given below: Job Details: Job ID: RQ11301
- Software Developer
- ETL
- Senior Client : Labour and Transportation Cluster Location : Toronto, Ontario Duration: 09 months + Extension Type: Onsite Job Description: 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: o Self-Hosted Integration Runtime o Data movement, ETL pipelines o Performance tuning on large data volumes o Complex data transformations o ADF Debugger to validate data transformation. o Azure Roles
- Experience with Informatica, including: o Workflow Manager o Repository Manager o Designer o 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: o Azure Resource Management o GitHub Repo o Source code version control o Branching, pull requests, build, release, multiple parallel development repositories merge.
- Experience with Azure DevOps, including: o Azure Boards o Azure Test Plans o Azure Pipelines o Azure Repos o 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: o 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.