Software Engineer- Quality Management
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Precisely is a global leader in data integrity, providing accuracy and consistency in data for 12,000 customers in more than 100 countries, including 90 percent of the fortune 100. Precisely's data integration, data quality, location intelligence, and data enrichment products power better business decisions to create better outcomes. We are looking for talented individuals with the experience and motivation to join our innovative team.
Purpose of the position
As a Software Development Engineer in Test, you are responsible for the design, creation, and maintenance of automated test frameworks. A candidate should possess the ability to perform API, UI, functional, regression, smoke, exploratory and end to end testing within an agile delivery model. As a member of a global scrum team, design, implement and test new functionality for the Infogix/Data360 DQ+ and Govern SaaS products. This position will allow Precisely to expand features and functions of Data360 DQ product offerings.
Responsabilties
Design, create and maintain automated test frameworks for front and back end systems/applications.
Perform API, UI functional, regression, exploratory, and end to end testing within an agile delivery model.
Demonstrate good understanding of Continuous Integration process, and should be able to create and execute jobs pipeline (GitlabCI/Jenkins)
Develop/document test plans, automated framework, tests for SAAS applications based on docker /Kubernetes running in Cloud
Test in bigdata environments like Databricks, Spark etc
Qualifications
Strong programming/scripting experience and a passion for Developing test code
3+ years exp in Test Automation including planning, assessments, script development and maintenance.
Proven experience in Python and JavaScript, familiarity with scripting (shell, batch) for added advantage
Demonstrated knowledge on framework creation in API automation with tools like Behave, rest assured, JMeter, SoapUI experience preferred
Demonstrated knowledge with CI/CD tools like Gitlab CI/Jenkins pipeline is an added advantage. Working knowledge of infrastructure as code.