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SAP Analytics Cloud (SAC) QA Engineer - Remote

Roles & Responsibilities

  • Minimum of 5 years of experience in Test Automation
  • Minimum of 3 years of experience in SAC applications (upstream and downstream)
  • Hands-on experience with JUnit, TestNG, Selenium WebDriver, JMeter, BDD, TDD
  • Good experience building, maintaining, and enhancing CI/CD pipelines

Requirements:

  • Develop and implement a reusable SAC test automation strategy for SAP Analytics Cloud
  • Analyze SAC testing requirements and procedures; create, execute, and optimize SAC test cases, automation scripts, and test data
  • Design, build, and maintain SAC test automation frameworks and scripts using tools such as JUnit, TestNG, Selenium WebDriver, and JMeter; integrate with CI/CD pipelines
  • Collaborate in an agile DevOps environment to ensure quality, provide test metrics, and coordinate with stakeholders

Job description


SAP Analytics Cloud (SAC) QA Engineer
Location: Remote
Duration: Long-term
Rate: DOE

US Citizens, GC, EAD ( H4, L2), E3 TN visa holders preferred, NO third party corp to corp accepted for this job

Job Description:
  • We are seeking an experienced SAC QA Specialist to join our team. The SAC QA Engineer will be responsible for developing and implementing a reusable approach to SAC Test Automation.
  • You will be expected to understand and analyze the requirements and procedures of SAC Testing and create, execute, and optimize SAC Test Cases, Test Automation, and Automation Scripts.
Qualifications:
  • Minimum of 5 years of experience in Test Automation
  • Minimum of 3 years of experience in SAC applications (both upstream and downstream)
  • Knowledge of Software Testing, Programming Language, and Quality Assurance Principles
  • Excellent organizational, communication, and time-management skills
  • Customer relationship management experience
  • Experience working in an agile DevOps environment.
  • Hands-on experience with JUnit, TestNG, Selenium Web Driver, JMeter, BDD, TDD
  • Experience in tools like Splunk, Dynatrace, and DevOps tools.
  • Good experience building, maintaining, and enhancing CI/CD pipelines.
  • Good experience in GCP, Azure, and AWS.


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