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Data Testing/ETL Testing

E-Solutions, Evanston, IL, United States


2 -3 days working from client office

ONLY US CITIZENS AND GREENCRADS WHO ARE LOCAL TO CHICAGO

Position: QA Analyst/

Data Testing/ETL Testing Consultant

Location: Evanston, IL

Duration: 4 Months CTH

Need heavy on data related testing

Please ensure that the candidates are having technical hands-on experience since that is the role requirement. It can't be a past experience but needs to be current HANDS-ON.

Data Testing/ETL Testing

Selenium web automation (Java)
Communication skills should be excellent
Required Skills:

6+ years of testing experience - (hands on UI and

data related testing)
3+ years SQL experience, strong understanding of RDBMS concepts, with ability to understand and write complex queries.
Manual testing covering functional, non-Functional, and analytical testing.
Solid experience in Test Automation using Selenium, WebDriver - developing test cases, test data setup.
Ability to understand complex business processes & workflow, functional & technical process of application, perform data analysis, validation, and verification.
Experience creating test plans and detailed test cases.
Experience preparing requirement traceability documents.
Experience with test effort estimation
Experience with performance testing
Technical -

Postgres ,

SQL Server, Java, JavaScript, Excel, Gherkin, Cucumber, GIT
Methodology:

Agile - Normal course of project execution is under Agile methodology.
Predictive/Waterfall - Some of the QA projects run under waterfall methodology.

Strong communication skills - ability to interact with senior developers and business product owners.
Highly motivated self-starter and team player with ability to work under minimal supervision.
Nice-to-have Skills:

Familiarity with JIRA, Confluence, TFS
Experience using JMeter
Experience with HP ALM/QC
.NET, AS400/DB2 (IBM i), SSIS, SSMS, PGADMIN, Python, SAML, RPA

Environment:

Our client's current IT landscape primarily includes .NET, SharePoint, Java, AS/400 with SQL Server, Postgres and DB2 database backends. The following Project Management methodologies are adopted: Hybrid Agile/SCRUM (software development) and Waterfall (infrastructure projects).