Senior ETL Data Quality Developer

Build reliable Azure and Databricks data pipelines as a Senior ETL Software Developer in a hybrid consulting assignment. Apply PySpark, SQL, and testing expertise.

This senior role supports data engineering under the IT QA Lead. You will design transformations, validate data, and strengthen analytics infrastructure. The work emphasizes Power BI, Great Expectations, automated testing, and CI/CD delivery.

Key Responsibilities:

• Design test plans for Azure, Databricks, and Power BI pipelines
• Assess, validate, and profile data using Great Expectations
• Develop automated testing frameworks within CI/CD pipelines
• Monitor pipeline performance, scalability, and data integrity
• Perform functional testing on Power BI reports and dashboards

Requirements:

• Five-plus years in public-sector software development, data, or quality assurance
• Five-plus years of data engineering experience
• Hands-on PySpark, SQL, Azure, Databricks, and Power BI experience
• Azure DevOps, Git, Visual Studio Code, and CI/CD experience
• Five-plus years of quality assurance and automated testing experience

Bring senior ETL development, data quality, Power BI, and automated testing expertise to Azure-based analytics pipelines.