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Remote hiring and metro applicant pool increase competition despite seniority and niche Azure/Python requirements.
Skills are generally transferable across industries, but Azure/Databricks specialization raises domain sensitivity.
Multiple mandatory skills (8+ years, Python, Azure Databricks, ETL, SQL) indicate high filtering.
Develop and maintain automation framework for data warehousing progression and regression testing.
Perform functional and non-functional testing for data validation between source and target databases using Azure components.
Collaborate with stakeholders to identify testing needs and ensure automated test scripts meet project deliverables and improve test quality.
Bachelor's Degree in IT, Business, Computer Science, or related field.
8+ years of experience in Software Quality Assurance.
Extensive experience in ETL concepts, data migration testing, data warehouse testing, BI reporting, and data automation using Python.
Proficiency in complex SQL queries on Azure Databricks and experience with Azure-related testing tools and frameworks.
Experienced in agile and waterfall environments with ability to integrate testing frameworks using Atlassian tools such as Jira and Confluence.
Skilled in working with Azure data services including Azure Data Factory, Azure Notebooks, and Cosmos DB (preferred).
Has finance industry experience and familiarity with CI/CD tools like Azure DevOps and Docker and ISTQB certification is a plus.