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Data Test Analyst
Компания: Purple Drive Technologies
Город: Hamilton
**Job Description**
**Role Purpose**
Support business-critical data quality across wealth management products by validating financial data, backend services, APIs, integrations, batch processing, and data pipelines. The role combines strong domain understanding with advanced data-testing and reconciliation skills.
**Must-Have Technical and Functional Skills**
Demonstrated experience in Data Testing or SDET roles with a strong business and data focus.
Strong understanding of wealth management or financial services domains.
Advanced SQL skills for data validation and reconciliation.
Experience validating backend systems, APIs, and integrations from a data perspective.
Experience validating batch processing and data pipelines.
Ability to understand and test business rules, calculations, and financial logic, not only data schemas.
Hands-on experience with Python and PyTest for data-testing automation is an added advantage.
Roles and Responsibilities
**Business- and Domain-Driven Data Testing**
Develop a strong functional understanding of wealth management products and data, including accounts, positions, holdings, transactions, balances, statements, fees, performance, valuations, and corporate actions.
Understand business workflows and data flows end to end.
Translate business rules and requirements into testable data-validation scenarios.
Data Testing and Reconciliation
Design and execute data-validation and reconciliation tests for financial transactions and balances.
Validate data across backend systems, APIs, integrations, batch processes, and data pipelines.
Use SQL to identify discrepancies, reconcile results, and verify expected business outcomes.
Collaboration and Defect Analysis
Partner with business, product, and engineering teams to clarify requirements and expected data behavior.
Investigate data issues with a business-first mindset.
Provide clear explanations of data breaks and mismatches.
Document defects with business context, supporting data evidence, and root-cause insights.