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Recognizable services brand and 4-6 years requirement create moderate applicant competition.
Skills transferable across industries but require specific data-platform tooling and cloud expertise.
Explicit 4-6 years plus mandatory SQL, Python, automation, cloud and CI/CD skills enforce strict filtering.
Develop and maintain automated tests for ETL workflows and data pipelines validating high-volume datasets across Data Warehouse/Data Lake environments.
Create scalable Python and SQL-based test automation frameworks integrated with CI/CD pipelines on Azure, AWS, and GCP platforms.
Collaborate with data engineers, analysts, and stakeholders to define testing strategies and ensure data quality standards throughout Agile delivery processes.
4-6 years of experience in ETL automation and Data Warehouse/Data Lake testing.
Proficiency in SQL and working knowledge of Python for automation scripting.
Experience with at least one test automation framework and familiarity with CI/CD tools like Jenkins, Git, or Azure DevOps.
Exposure to cloud data services: Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), and GCP (BigQuery).
Experienced with automated data quality validation in cloud environments using Python and SQL at scale.
Comfortable working in Agile/Scrum teams and embedding testing into CI/CD pipelines.
Able to coordinate across multidisciplinary teams to uphold data quality and automate testing frameworks.