Quality Analyst

  • San Francisco, CA
  • Posted 5 hours ago | Updated 5 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2

Skills

Quality Analyst
data integration
ETL testing
Snowflake
Azure

Job Details

Location: ONSITE- San Francisco OR San Ramon CA
Duration: 6 months

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."

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