drjobs ETL Developer

ETL Developer

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1 Vacancy
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Job Location drjobs

Toronto - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

ETL Developer (ETL Azure Data Factory Databricks Logic App and Function App IBM Cognos and Microsoft PowerBI SQL Server Stored Procedure Oracle PL/SQL)

1 year contract (with possibility of renewal)

Toronto (hybrid)

Deliverables section:

Scope of Services and Deliverables - The Services and Deliverables to be provided by the Vendor will include the following:

Participate in the review of project work request and maintenance release artefacts - Use Case System Requirement Specification etc.

Deliver detailed system design documents and any other supporting documentation conforming to Ministry standards.

Design logical and physical data models using Sybase Power Designer.

Produce transformation mapping document.

Implement data pipelines using Azure Data Factory (ADF) stored procedure and Informatica PowerCenter performing extraction transformation and loading activities.

Implement solutions using Logic App and Function App.

Generate structured JSON file using ADF/ SQL.

Develop Azure CI/CD pipeline to automate ADF release.

Develop complex Oracle PL/SQL program to fulfill project requirements.

Implement complex data conversion e.g. binary to character EBCDIC to UTF.

Implement complex data transformation(s) for derived and calculated values.

Integrate data sets from diverse source systems.

Implement ADF for initial data load and incremental load.

Promote ADF and Informatica ETL/ELT through all Ministry environments including Development Integration Testing QA UAT Production.

Resolve and troubleshoot ADF pipeline stored procedure and Informatica workflow technical problems.

Monitor and analyze incident provide timely resolution.

Collaborate with IT Professionals throughout the Software Development Life Cycle.

Document information from diverse business area stakeholders and subject matter experts.

Optimize performance of ADF pipeline Azure SQL and Synapse databases and Informatica workflow.

Monitor application functionality and performance on daily basis.

Provide effective knowledge transfer to Ministry staff at all stages of this assignment.

SkillsExperience and Skill Set Requirements

Evaluation Table

ETL Development-Data Integration 40%

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 40%

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 10%

Extensive experience in designing and developing SQL Server Stored Procedure Oracle PL/SQL programs.

Database Technologies 10%

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

Employment Type

Full Time

Company Industry

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