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Popular mid-level test-automation role in a metro with broad skillset requirements, so highly competitive.
Fintech and ETL-specific requirements make background fit highly sensitive and less transferable.
Multiple must-have skills including 5+ years, Python, GCP, ETL, and fintech experience, so highly selective.
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Develop and manage scalable test automation frameworks focusing on ETL, data ingestion, cloud platforms (GCP), and databases.
Automate testing processes applying shift-left and test-first principles, ensuring quality throughout ETL and data ingestion pipelines.
Collaborate within an Agile Data tribe environment, aligning test strategies with sprint and release planning, and advocate quality across cross-functional teams.
5+ years hands-on experience in test automation frameworks using Python and BDD tools (Behave or Cucumber).
Experience with Data Ingestion/ETL testing and cloud technologies, specifically Google Cloud Platform (GCP) and Azure.
Proficiency in API Test Automation, non-functional testing tools (JMeter, SonarQube, JFrog), and cloud-based CI/CD pipelines (preferably Azure DevOps).
Experience in Fintech industries (Insurance, Finance, or similar).
Strong technical ownership with expertise in OOP, SOLID principles, and design patterns for test automation frameworks.
Experienced in Agile model delivery with ability to prioritize quality risks and contribute strategically to sprint and release planning.
Skilled in stakeholder management and mentoring teams, with a focus on data-driven decision-making and promoting quality across engineering functions.