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AI Summary
Design, build, and maintain scalable Azure-based data solutions to support the Digital Regulatory Assurance System. Enable analytics, reporting, regulatory compliance, and future AI initiatives through robust data platforms.
This is a remote position.
We are seeking an experienced Intermediate Data Engineer to support the Digital Regulatory Assurance System (DRAS), a strategic initiative focused on modernising environmental and natural resource regulatory processes. The successful candidate will design, build, and maintain scalable Azure-based data solutions that enable analytics, reporting, regulatory compliance, and future AI initiatives.
Requirements
Mandatory Qualifications
- Post-secondary degree, diploma, or certificate in Computer Science or a related field.
- 5+ years of hands-on experience with Python and SQL for data engineering.
- 4+ years of experience using GitHub/Git for version control and collaborative development.
- 3+ years of experience with:
- Azure Infrastructure and Services
- Azure Databricks
- Azure Data Factory
- Azure Synapse Analytics
- Building scalable data pipelines
- Designing analytics-ready data platforms
- Azure Infrastructure and Services
- 2+ years of experience in data governance, metadata management, and security within Azure Databricks environments.
- 1+ year of experience using AI-driven tools for code generation, automation, or development productivity.
Preferred Qualifications
- Experience with Microsoft SQL Server.
- Experience building scalable ETL pipelines.
- Experience with Microsoft Fabric.
- Experience designing and integrating RESTful APIs.
- Experience working with ServiceNow data integrations.
- Experience with Azure-based cloud environments in the Government of Alberta.
- Experience with message queuing technologies.
- Strong understanding of data warehousing, data modelling, and enterprise analytics.
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