Provides analytic solutions for sales and marketing processes.
Work as part of a team of world class engineers to develop QA tests and automation for the implementation of our SaaS based enterprise 'Big Data' predictive analytics engine. You will be an instrumental member of one of our agile/SCRUM teams designing and developing our core technology. You will join a fast growing team driven by excellence in quality. You will work with the latest test and QA automation technology and help to define the processes and standards by which QA operates. Excellent teamwork, collaboration and ability to work in a fast passed environment are required.
Develop re-useable test designs and test cases within an agile model
Focus is on automation, but some manual test planning work is required
Participate in the agile/SCRUM process and collaborate with development and production team throughout all stages of the SDLC
Produce and maintain useful and usable documentation of work, and contribute regularly to the general Engineering body of knowledge
Execute deep-dive QA forensics - providing extensive issue analysis & decomposition
Define and refine solutions to big-data technical challenges
Identify test priorities across an n-tier technology stack
Bachelor’s Degree or an equivalent combination of education and work experience, advanced degree (MS) is preferred
Hands-on expertise with automation frameworks (e.g. Junit/Nunit, Selenium, Jenkins, etc.) and test scripting tools (e.g. Python, Perl etc.)
5 years’ experience as a Software QA Engineer testing multi-tier web applications, ETL experience a bonus
Strong knowledge of SQL and relational databases required
Experience with testing SaaS based solution considered favorably.
Experience with using one or more QA tools such as JIRA, TestRail, SOAPUI, WireShark etc.
Understanding of software engineering skills and QA/Test and automation methodologies
Experience in developing and testing with Java/C#/C++ is a big plus
Passionate about QA and keeping current with industry trends and best practices
Excellent written and verbal communication skills
English: oral is necessary