RQ00527 DataOpsCloud Data Engineer Senior

Guelph - Canada

Monthly Salary: CAD 101 - 101

Experience Required: 10years

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

This role is hands on and delivery focused. The Senior Data Engineer is responsible for implementing data pipelines transformations and data quality controls using Microsoft Fabric SQL and Python. The role supports enterprise reporting operational analytics and data driven decision making by ensuring data is accurate timely and trusted.

The successful candidate will demonstrate strong engineering discipline accountability for deliverables and the ability to work independently within established direction and standards set by the Manager.

Key Responsibilities

Design build and maintain end to end data pipelines using Microsoft Fabric including Lakehouse Data Factory Dataflows and notebooks.
Develop and optimize SQL based transformations data models and curated datasets for enterprise reporting and analytics.
Build and maintain Python based data engineering logic for ingestion transformation validation and automation.
Implement and operate data quality controls including validation rules reconciliation checks and exception handling.
Monitor data pipelines investigate failures or data quality issues and implement fixes with minimal escalation.
Integrate data from multiple enterprise systems including CRM ticketing systems telephony platforms and operational databases.
Maintain technical documentation data lineage and operational runbooks for owned pipelines and datasets.
Work closely with the Manager and Data Analysts to ensure data assets meet defined standards and reporting requirements.

Requirements

Required Qualifications and Experience

Minimum 7 years of hands-on experience in data engineering or analytics engineering roles.
Strong practical experience with Microsoft Fabric in a production environment.
Advanced proficiency in SQL including complex transformations and performance optimization.
Strong hands-on experience using Python for data engineering and automation.
Demonstrated experience implementing data quality controls and operating reliable data pipelines.
Experience working in cloud-based data platforms and modern data architectures.
Ability to deliver independently while aligning to technical direction and priorities set by management.
Microsoft certifications preferred such as Microsoft certified Fabric analytics engineer Azure data engineer or Microsoft data platform certification.

Preferred Qualifications

Degree in Computer Science Engineering or a related technical field.
Experience supporting Power BI semantic models and enterprise reporting environments.
Familiarity with Git version control and basic CI/CD practices for data engineering.
Experience working in regulated operational or public sector environments.

Key Responsibilities

Design build and maintain end to end data pipelines using Microsoft Fabric including Lakehouse Data Factory Dataflows and notebooks.
Develop and optimize SQL based transformations data models and curated datasets for enterprise reporting and analytics.
Build and maintain Python based data engineering logic for ingestion transformation validation and automation.
Implement and operate data quality controls including validation rules reconciliation checks and exception handling.
Monitor data pipelines investigate failures or data quality issues and implement fixes with minimal escalation.
Integrate data from multiple enterprise systems including CRM ticketing systems telephony platforms and operational databases.
Maintain technical documentation data lineage and operational runbooks for owned pipelines and datasets.
Work closely with the Manager and Data Analysts to ensure data assets meet defined standards and reporting requirements.

Requirements

Required Qualifications and Experience

Minimum 7 years of hands-on experience in data engineering or analytics engineering roles.
Strong practical experience with Microsoft Fabric in a production environment.
Advanced proficiency in SQL including complex transformations and performance optimization.
Strong hands-on experience using Python for data engineering and automation.
Demonstrated experience implementing data quality controls and operating reliable data pipelines.
Experience working in cloud-based data platforms and modern data architectures.
Ability to deliver independently while aligning to technical direction and priorities set by management.
Microsoft certifications preferred such as Microsoft certified Fabric analytics engineer Azure data engineer or Microsoft data platform certification.

Preferred Qualifications

Degree in Computer Science Engineering or a related technical field.
Experience supporting Power BI semantic models and enterprise reporting environments.
Familiarity with Git version control and basic CI/CD practices for data engineering.
Experience working in regulated operational or public sector environments.