Description

You will validate end-to-end data processes and ETL pipelines within banking regulatory reporting scenarios.

Responsibilities

• Create use cases, user stories, and test scripts to validate functional requirements for Finance and Treasury systems.
• Coordinate end-to-end validation of business and system processes from data sourcing to reporting.
• Implement regression test suites for ETL pipelines to enable continuous integration and testing.
• Manage QA activities, including environment readiness, requirement traceability, and defect reporting.
• Collaborate with developers and data architects to design test strategies and ensure data quality.

Required Skills

• 7+ years of experience in automation and manual positive and negative testing.
• 5+ years of experience validating large volumes of data in data warehouses, focusing on transformation, data flow, and security.
• 5+ years of experience with Snowflake features, including Snowpipe and SnowSQL.
• 5+ years of experience writing complex SQL queries and Python code.
• 5+ years of experience building automation test suites using SQL, Python, and the pytest framework.
• 5+ years of experience using test management and bug tracking tools such as QTest and Jira.
• 3+ years of banking experience with a focus on documenting test evidence for regulatory audit and compliance.
• Strong proficiency with Informatica tools and understanding of data pipelines.
• Experience working in Agile/Scrum environments, including sprint planning and daily stand-ups.

Preferred Skills

• Leadership experience mentoring junior testers and improving ETL QA processes.

Key Skills

Education

Bachelor's Degree