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Job Description & How to Apply Below
Duration: 35-month contract
Location:
Toronto, ON (Hybrid – Minimum 2 days onsite)
Rate: $57.46-$67.04/hr
Advantages
Unprecedented Stability: A 35-month contract provides a rare level of long-term engagement and the ability to steer a major public sector data transformation from start to finish.
Advanced Technology Stack:
Work at the forefront of cloud data engineering, utilizing the full Microsoft Azure suite and Delta Lake architectures.
Collaborative Environment:
Work within a specialized "Special Posting" team that values research, knowledge sharing, and technical excellence.
Responsibilities
Data Pipeline & Architecture
ETL/ELT Excellence:
Design, develop, and document high-performance Azure Data Factory (ADF) and SSIS packages to integrate data from disparate enterprise systems.
Modern Data Stack:
Maintain Azure Databricks notebooks using Python (PySpark) and SQL for both batch processing and real-time streaming workloads.
Medallion Architecture:
Build curated, analytics-ready datasets following the layered Bronze, Silver, and Gold patterns and implementing Delta Lake best practices.
Warehouse Engineering:
Develop complex T-SQL, stored procedures, and views within Azure Synapse and SQL Server 2016+ environments to optimize data retrieval and reporting.
Analytics & Insights
Data Modeling:
Lead the data modeling efforts for the EDW and data lake solutions, ensuring scalability and adherence to enterprise architecture standards.
Business Intelligence:
Develop and maintain sophisticated Power BI reports and dashboards to translate raw data into meaningful, data-driven business insights.
Requirement Translation:
Partner with Business Analysts to convert complex business needs into detailed technical specifications and functional designs.
Governance & Quality
Data Stewardship:
Design and implement rigorous data quality, cleansing, and stewardship processes to ensure the "single version of truth" for enterprise data.
CI/CD & Dev Ops:
Manage the development lifecycle through Azure Dev Ops, ensuring reliable deployments via automated CI/CD pipelines.
Technical Leadership:
Research and propose innovative technical solutions, conduct knowledge transfer sessions, and provide accurate time estimates for enterprise-level initiatives.
Qualifications
Experience:
5+ years of dedicated experience in Data Engineering or Database Development for enterprise-scale solutions.
Azure Mastery:
Expert-level hands-on experience with Azure Synapse (SQL DW), Azure Data Factory, Azure Databricks, and Azure SQL Services.
Programming:
Proficiency in SQL and Python (specifically PySpark for big data processing and automation).
Dev Ops
Skills:
Proven track record of managing projects through Azure Dev Ops and CI/CD pipelines.
Visualization:
Demonstrated experience developing reports and dashboards in Power BI.
Compliance:
Solid understanding of the Ontario Human Rights Code (OHRC) and AODA accessibility requirements.
Education:
University degree in Computer Science or a related quantitative discipline.
Deliverables
Detailed technical designs and functional specifications for the EDW ecosystem.
Unit-tested system components ready for QA and User Acceptance Testing (UAT).
Comprehensive technical documentation and post-implementation support guides.
Optimized data integration packages and regular project status reports.
Summary
If you are a seasoned Data Engineer with a passion for building robust cloud architectures and a talent for turning complex data into strategic assets, we encourage you to apply today!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and…
Position Requirements
10+ Years
work experience
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