Description

You will validate data integrity and test systems within a Capital Markets environment, owning the end-to-end QA lifecycle for data platforms.

This role is on-site.

Responsibilities

• Execute ETL testing to ensure data accuracy and integrity across systems.
• Perform comprehensive QA testing for various data systems and pipelines.
• Support data lifecycle processes, including reconciliation and P&L validation.
• Document testing processes, results, and defects using Jira and Confluence.

Required Skills

• 8+ years of professional experience in QA or data testing.
• Strong hands-on experience with ETL testing methodologies.
• Expert proficiency in SQL, including complex joins, subqueries, and analytics functions.
• Proficiency in Python for testing automation and scripting.
• Solid understanding of Data Warehousing concepts and architecture.
• Experience working with Oracle and SQL Server databases.
• Familiarity with Capital Markets domains such as Equities, Fixed Income, FX, and Derivatives.
• Experience working within Agile/DevOps delivery models.

Preferred Skills

• Experience with ALM/QC (Application Lifecycle Management/Quality Center) tooling.

Key Skills

Education

Any Gradute