QA Lead Job at Artech, San Francisco, CA

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  • Artech
  • San Francisco, CA

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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