Job Description

  • Contractor
  • Anywhere

Hiring Software Developer position for Toronto location

Work type: Contract and Hybrid

Exp: 8+ Years

Must be PR / Citizen

Skill Set:
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