Overview
Hybrid
$60 - $70
Contract - W2
Contract - 12 Month(s)
Skills
ALM
BI
BI ) Reporting
BI Reports
BI reporting
BI reporting tools
Business Intelligence
Business Intelligence ( BI ) Reporting
Data Warehouse
ETL
HP ALM
Quality Center
SAP
UiPath
automation tools
computer science
data lakes
data management
software testing
test automation
test scenarios
validate data
Job Details
Sr Automation Test Engineer
San Francisco CA / Hybrid
Qualifications:
Requirements: Bachelor s degree in computer science, Information System or related field or equivalent professional experience Typically requires five or more years of professional experience in automation coding and software testing Experience with Business Intelligence (BI) Reporting and Data Warehouse tools Experience in Data Warehouse (DW) testing and testing with SAP Business Intelligence (BI) AWS Cloud testing experience is required Advanced SQL and UiPath scripting skills Experience using Toad Data Point Experience with Agile methodology is requiredDesired: Experience using HP ALM/Quality Center Experience with GitLabResponsibilities:
Responsibilities: Perform test activities within analytics and data management domains Utilize advanced SQL and ETL techniques to validate data in advanced database structures, data lakes, data warehouse and SAP BI reporting tools Develop UiPath scripts to automate SAP BI Reports test cases (data comparison) as well as AWS Cloud test scenarios Perform requirements and user story analysis to create detailed test designs and conditions Assist with setup and maintenance of test environments Develop configurable, maintainable, reusable and dependable test automation framework using automation tools Prepare for and takes part in testing activities for production deployments and remediation Provide traceability from business requirements and technical specifications to test conditions and problem reports Participate in detailed review walkthrough sessions Willing and able to knowledge transfer/mentor peers on test automation best practices where appropriate Track issues to successful resolution Collect metrics to measure test progress and quality outcomes