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Job Description
Structured overview of role & requirementsAbout This Role
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.
Minimum Requirements
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).
Ideal Candidate Profile
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.