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Mid-level generalist QA title and 5+ years requirement with common tooling attracts moderate competition.
Fintech domain requirement plus data-focused QA skills make cross-industry transfer limited.
Multiple mandatory filters: 5+ years, Python automation, ETL/GCP, Azure DevOps, and fintech experience.
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Develop and manage test automation frameworks for ETL, data ingestion, cloud platforms, and databases within a data-focused engineering team.
Lead creation of scalable, reusable test automation solutions using Python and best coding practices, ensuring quality and timely delivery in an Agile environment.
Collaborate in Agile ceremonies to prioritize backlogs, mentor junior engineers, and influence cross-functional stakeholders on quality risks and improvements.
5+ years hands-on experience in test automation using Python and BDD tools like Behave or Cucumber.
Proficient with Python programming fundamentals including data structures, file handling, and libraries such as Pandas; experience with API test automation and cloud technologies (GCP/Azure).
Experience in data ingestion/ETL testing, databases (SQL/PostgreSQL/Oracle), cloud CI/CD pipelines (Azure DevOps), and non-functional testing tools (JMeter, SonarQube).
Experience working in Agile methodology with tools like Jira & Zephyr; background in Fintech industries; experience with test automation frameworks and cloud git repositories.
Strong expertise in Python-based test automation and cloud environments, especially GCP and Azure, with deep knowledge of data ingestion and ETL processes.
Experienced in Agile delivery within integrated data and software engineering teams, capable of leading quality strategy and mentoring juniors.
Skilled in strategic test planning and stakeholder communication to manage risks and align quality efforts with product priorities.