Data Engineer Python Sql Pipelines

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 varied 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 ServicesDesign data models and optimize the data warehouseValidate data quality, integrity, and completeness through monitoringIntegrate CI/CD tools for pipeline deployment and monitoringReview code and provide feedback on development practicesRequirements:
Post-secondary education in a quantitative field or equivalent experienceTwo years developing software, data, or cloud engineering solutionsTwo years working on data engineering projects and ETL toolsProficiency in Python and SQL, preferably Microsoft T-SQLAzure or Microsoft on-premises experience preferred, not requiredApply your Python, SQL, warehousing, and pipeline expertise to high-accuracy data engineering delivered onsite.
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