Hybrid Data Integration Engineer - Analytics & Pipelines

Co-operators; Guelph; Híbrido; CAD 70 000 - 116 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Training and development

Flexible work options

Well-being programs

Volunteer days

Total rewards including retirement and

Resumo da oferta

Co-operators in Canada is seeking a Data Integration Specialist to autonomously design data solutions for analytics, building data pipelines and data stores that deliver business value within the BI environment.

You will implement production-ready code, ensure data quality, apply security and governance, and collaborate with data engineers using SQL, Azure Synapse, Git, Python, and Power BI to meet SLAs and drive insights.

Qualificações

• 3-5 years of experience in Data Engineering/Integration or related field.
• Bachelor’s degree in Computer Science or related field.
• Strong knowledge of data analysis, modeling and data management.
• Experience with SQL and relational databases (Azure Synapse/SQL Server).
• Familiarity with Git and DevOps tooling.
• Assets: Databricks, Python, ADLS, Power BI, R.

Responsabilidades

• Autonomously engineer data solutions for analytics across data stores and pipelines.
• Develop analytics solutions to support reporting, metrics, and predictive models.
• Deliver production-ready code with best practices, scalable design, and automated tests.
• Ensure data quality, governance, and security within SDLC and SLAs.

Conhecimentos

Data engineering

Data integration

Data analysis

Data modeling

Programming

Formação académica

Bachelor's degree in Computer Science

Ferramentas

Azure Synapse

SQL Server

Git (Azure DevOps & GitHub)

Microsoft Excel

Power BI

Databricks

ADLS

Python

R (Shiny)

Descrição da oferta de emprego

Co-operators in Canada is seeking a Data Integration Specialist to autonomously design data solutions for analytics, building data pipelines and data stores that deliver business value within the BI environment.

You will implement production-ready code, ensure data quality, apply security and governance, and collaborate with data engineers using SQL, Azure Synapse, Git, Python, and Power BI to meet SLAs and drive insights.