Lead ATQC Engineer (вакансія неактивна)

• Deep understanding of the principles of the testing system with complex architecture (integration of modules to applications, APIs, services, data flows, etc.)
• Experienced in developing a testing strategy
• Deep understanding of the principles of automated testing
• Experienced in Java, Selenium Web Driver
• Experienced in leading QC teams to drive them, decompose the complexity to tasks, mentor them and back-up if needed, communicate and convince around that or another decision
• The ability to prioritize and determine the required depth load in the data of each task
• Good English is a must
• Good presentation skills — all important messages are to be delivered in a clear and certain way so that everyone (including non-technical persons) could have an understanding of why one or another decision took place
• Understanding of Salesforce and hands-on experience knowledge and understanding of given technology is a plus
• Experience with testing of FMCG sales automation applications is a plus

• Take on leadership responsibilities and influence the direction of the manual and automation efforts, and its schedule and prioritization
• Leading the QC Team to the success of the project
• Defining the scope of testing within the context of each release/delivery
• Deploying and managing resources for testing
• Participate in process improvement teams and/or completes relative documentation when required
• Estimation and scope decomposition
• Working with the test engineers to design and develop a reusable architecture for test automation
• Risk assessment, defining dependencies and assumptions
• Perform quality testing
• Assist in the continuous growth of the Quality Department
• Interviewing potential candidates

Our Client is the leading global brewer and one of the world’s top five consumer products companies.
The goal of the current Project is to:
• Aggregate data from all sales systems, primarily from SFDC
• To store them in Azure cloud using Hadoop
• Process using Hadoop, meaning create all needed pre-aggregated data which can be used for analytics purposes
• Design analytics level using Qlik