QA Automation Engineer - Treasury & Data Validation
Summary
Senior QA Automation Engineer designing frameworks for Treasury and Balance Sheet Management using Python, Selenium, and PyTest. Focuses on complex data validation, Azure cloud analytics (Databricks, Spark SQL), and ensuring data quality in financial environments.
Join a top financial organization as a Senior QA Automation Engineer focused on Treasury and Balance Sheet Management. This role emphasizes designing automation frameworks for complex data validation and cloud analytics.
As a senior member of the QA team, you will utilize your 6+ years of automation experience to create robust testing frameworks. Work with tools like Selenium and PyTest to enhance data quality, implementing thorough test strategies for Azure solutions while collaborating effectively with development and business teams.
Key Responsibilities: • Maintain automated testing frameworks for APIs and data platforms • Create controls for data completeness and schema validation • Design test strategies for Azure Databricks and Spark SQL • Validate REST APIs and data ingestion processes • Work with teams to define requirements and test coverage
Requirements: • Minimum 6 years in QA automation • Proficient in Python and Perl for scripting • Experience with Selenium and PyTest for automation • Strong SQL skills with large data volumes • Understand Azure cloud platform testing
Help shape data quality strategies and testing efficiencies in financial environments.
As a senior member of the QA team, you will utilize your 6+ years of automation experience to create robust testing frameworks. Work with tools like Selenium and PyTest to enhance data quality, implementing thorough test strategies for Azure solutions while collaborating effectively with development and business teams.
Key Responsibilities: • Maintain automated testing frameworks for APIs and data platforms • Create controls for data completeness and schema validation • Design test strategies for Azure Databricks and Spark SQL • Validate REST APIs and data ingestion processes • Work with teams to define requirements and test coverage
Requirements: • Minimum 6 years in QA automation • Proficient in Python and Perl for scripting • Experience with Selenium and PyTest for automation • Strong SQL skills with large data volumes • Understand Azure cloud platform testing
Help shape data quality strategies and testing efficiencies in financial environments.