Job Description

Job Description: **Please strictly adhere to the following resume naming convention:

ALL CAPS, NO SPACES B/T UNDERSCORES

PTN_US_GBAMSREQID_CandidateBeelineID i.e. PTN_US__SKIPJOHNSON0413 Bill Rate: MAX CONFIRMED *** MSP Owner: Mya Riecke Location: ONSITE- San Francisco OR San Ramon CA Duration: 6 months GBaMS ReqID: Experience requested: 15+YRS Description: "• 15+ years of experience in QA/testing, with at least 5 years focused on data integration and ETL testing. • 5+ years of experience testing Snowflake and Azure cloud services (ADF, ADLS, Function App, Batch etc.)." "Key Responsibilities

• Establish and implement a formal QA program for data integration and ETL workflows.
• Build and mentor a QA team to support enterprise data initiatives.
• Design, develop, and execute test plans for SSIS and ADF pipelines, validating data transformations and load accuracy.
• Define and implement QA automation frameworks for data validation and regression testing.
• Optimize data validation scripts for performance and accuracy.
• Collaborate with data engineers and developers to align QA efforts with project goals.
• Validate data against business rules and regulatory requirements.
• Conduct performance and scalability testing for ETL jobs and data flows.
• Manage QA configurations and ensure best practices for data quality and governance.
• Support CI/CD workflows using Azure DevOps for automated testing and deployment.
• Create technical documentation and knowledge transfer plans for operational teams.

Required Qualifications

• 15+ years of experience in QA/testing, with at least 5 years focused on data integration and ETL testing.
• 5+ years of experience testing Snowflake and Azure cloud services (ADF, ADLS, Function App, Batch etc.).
• Strong hands-on experience with SSIS and Azure Data Factory (ADF).
• Proficiency in SQL (snowflake & SQL Server) for data validation and query-based testing Solid understanding of data warehousing concepts, data modeling, and data migration testing.
• Experience with Azure DevOps for CI/CD pipelines and test automation.
• Familiarity with investment management domain.
• Proficiency in Python for automation and experience with Playwright or similar automation tools
• Exposure to API testing for data services is preferred.
• Strong understanding of data governance and compliance frameworks.
• Excellent communication and leadership skills for cross-functional collaboration."

Comments for Suppliers: ROLE: QA Lead

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