Senior Data Engineering Qa Developer

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Lead automated data and software quality testing as a Senior ETL Developer in a hybrid assignment requiring three onsite days weekly. Work with Azure, Databricks, and Power BI.This senior role combines data engineering, QA, and DevOps practices under the IT QA Lead. You will evaluate functionality, performance, automation, and data integrity. The environment includes Selenium, JMeter, JIRA, Great Expectations, Azure DevOps, and Git.Key Responsibilities:
Conduct functional, systems, performance, and automated testingTrack defects using JIRA or Azure DevOpsTest web applications, Power BI reports, and dashboardsBuild testing frameworks integrated with CI/CD and DevOps practicesCollaborate with data engineers on reliable pipeline deliveryRequirements:
Five-plus years in public-sector software, data, or QA workFive-plus years of quality assurance and automated testingExperience with Selenium and JMeter testing toolsExperience conducting data quality assessment, validation, and profilingExperience developing Azure and Databricks pipelines using PySpark and SQLUse QA automation, Great Expectations, Selenium, JMeter, and ETL expertise to strengthen data pipeline reliability.
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