QA Analyst/Engineer / Lead

  • Permanent
  • Anywhere

Website Emonics, LLC

Emonics, LLC

Company : Emonics, LLC

Country: United States

Location : Scottsdale, Arizona

Post: Thu, 23 Mar 2023 06:36:36 GMT

Expires: Thu, 20 Apr 2023 23:59:59 GMT

Apply Job : Apply Online

—————————— Job Description ——————————

Title : QA Analyst/Engineer / Lead

Location : Scottsdale, AZ

Job Type : Fulltime

Job Description:

Total experience required in:

8+ years

Technical / Functional Skills:

QA Testing methodologies, QA Process, Functional, Integration and System testing for the distributed applications, ETL Testing, AWS Cloud Testing, Test Automation using Python, Selenium or similar technologies, Backend testing through Oracle/SQL Servers, No SQL (MongoDB)

Automation experience – work experience in Selenium Zephyr, Jira ,Java/TestNG/Cucumber framework , SOAPUI, Postman & GitHub

Roles and Responsibilities:

Agile: Working with Scrum Team – for Backlog Grooming, Status Reporting, PI Planning

Test Management: Coordinate with client and team to create Test Scenarios, Test Cases, Test Data, Test Execution

Automation: Provide technical and Implementation of the Planned Backlog items for the sprint/PI.

Functional/Integration: Orchestrate the Automation code with the CI/CD Pipeline for DevOps implementation

Integration execution: Execute the individual automation components & E2E orchestration of the Different components for the Team

Enhance test frameworks and develop automated tests using Automation tool sets to ensure consistency as required by the team.

Estimate test accurately and coordinate with team members for work activities.

Apply, design and develop automated testing strategies and build automated testing frameworks

HealthCare experience/Knowledge a plus

Excellent communication Skills

Experience in testing in Agile projects, Defect management, Writing and executing test cases.

AWS Cloud application testing

Experience in Database testing, writing SQL queries

Experience with no SQL/ MongoDB

Report bugs Root cause analysis for data discrepancies.

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