Build complex data pipelines with Python and SQL Server while working onsite five days weekly alongside operational teams. Maintain extremely accurate reporting solutions and data systems.

As a Data Engineer, you will develop, test, deploy, and maintain ELT pipelines from wide-ranging sources into SQL Server databases. You will design scalable data models, optimize warehouse queries, and support data infrastructure with Git and Terraform. The work includes data validation, CI/CD integration, documentation, and code reviews. You will also contribute to technical designs and stakeholder discussions.

Key Responsibilities:
Develop and maintain ELT pipelines using Python and SQL Server Integration Services
Design data models and optimize the data warehouse
Validate data quality, integrity, and completeness through monitoring




Integrate CI/CD tools for pipeline deployment and monitoring
Review code and provide feedback on development practices

Requirements:
Post-secondary education in a quantitative field or equivalent experience
Two years developing software, data, or cloud engineering solutions
Two years working on data engineering projects and ETL tools
Proficiency in Python and SQL, preferably Microsoft T-SQL
Azure or Microsoft on-premises experience preferred, not required

Apply your Python, SQL, warehousing, and pipeline expertise to high-accuracy data engineering delivered onsite.
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📌 Data Engineer Python Sql Pipelines Coquitlam (Canada)
🏢 Petroglyph Development Group
📍 Canada