[xrecnet] Data QA Engineer /// Sacramento, CA

Data QA Engineer

Sacramento, CA

12 Months

 

Must be local to Sacramento, CA (as this is an onsite role)
Work will start remote ideally, we find someone in Sacramento.  LiveScan will be required prior to starting

The Data QA Engineer will focus on the CDI and collaborate with State and other vendors to develop and maintain test automation and manual (scripts) including CDI - testing views, metrics, transformations, conversion, and clean up.

The Data QA Engineer will implement version and configuration control of configuration metadata, run test automation (via development pipeline), document automated and manual test results, provide artifact of completion tying to a TI, and communicate test results to PDT to resolve issues.

Data QA Engineer shall have a minimum of three (3) years' experience as a QA engineer working on two (2) or more large enterprise IT projects in a multi-cloud platform environment utilizing an iterative methodology.

Data QA Engineer shall have a minimum of three (3) years' experience as a QA engineer on a large enterprise IT project(s) documenting test results and identifying and documenting defects in an automated testing/defect tool. 

Data QA Engineer shall have a minimum of three (3) years' experience on a large enterprise IT project(s) as a QA engineer performing the following data validation tasks:

·         Data analysis in a CRM platform;

·         Testing data services, including data extracts, metrics (calculation logic), reports, dashboards, alerts, and APIs;

·         Data profiling and scorecards, understanding data gaps and interaction with data stewards and business Subject Matter Experts (SMEs), and validating business and data transformation rules; and Data cleansing, data validation, data standardization, and validating the migration of the cleansed data to a CRM platform.

Each Data QA Engineer shall have a minimum of three (3) years' experience as a QA engineer on a large enterprise IT project(s) performing software, data, and configuration validation for on-line and mission critical applications (supported 24x7) while performing the following:

·         Validating the testing lifecycles (e.g., functional, negative/positive testing, test plan, performance, stress, regression, end-to-end) for stakeholders with various user profiles through sprint cycles utilizing an iterative methodology;

·         Utilizing a repository of user stories, test cases, detailed test scripts with expected test results for validation of sprint cycles through completion;

·         Documenting test results, identifying and documenting defects in an automated testing/defect tool;

·         Producing test reports, which includes status, test metrics, and any testing concerns, risks, and/or issues; and Validating compatibility with various Internet browsers (e.g., Internet Explorer, Firefox, Google Chrome), as well as mediums (e.g., mobile phone, tablet, pads).

Each Data QA Engineer shall have a minimum of three (3) years' experience on a large enterprise IT project(s) as a QA engineer performing validation efforts with automated and manual solutions.

 

Regards,

 
Satya
Technical Recruiter

Key Business Solutions, Inc|| Office: 916 646 2080 Ext 216 || Fax: 916 646 2081 || Email: satya@keybusinessglobal.com || Website: www.key-soft.com || Yahoo IM/G Talk: satyakeysoft 

Notice: This email is not intended to be a solicitation.  Please accept our apologies and reply in the subject heading with REMOVE to be removed from our Mailing list. Thank You.

 

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