Position: Middle QA Automation
Company: GlobalLogic
Experience required: 3y
English level: intermediate

Job Description
We are looking for an experienced QA Engineer to join our team working on the development of an AWS-based distributed data-pipeline in a project of modernization of client's Data Warehousing

The requirements for this position are the following:

Quality assurance experience in a data-oriented environment, including direct hands-on experience with ad-hoc query programs, automated testing tools, and reporting software
Ability to develop test design for a cloud-based data-related pipeline that covers data streaming, ETL, and data warehousing phases, as well as phase of data BI analytics presentation at a Tableau dashboard
Ability to automate testing of the data solution, both for a specific phase, as well as end-to-end
Experience with test automation in a modern programming language (Python, Java, Scala, C#, etc.), Java is a preferable language
Experience with performance testing using JMeter
Good knowledge of RDBMS and SQL, including the ability to write queries to validate data accuracy and quality. MSSQL experience is preferable
Ability to work in a small mixed-skill team responsible for data-pipeline development and testing
Working with Agile methodology
Good spoken and written English
 

Will be a plus:

Experience with AWS services
Experience with Apache Kafka
Zephyr
Tableau
 

Job Responsibilities
Develop & Execute Test Cases and document results for data-oriented solutions
Develop automated test scripts within QA framework 
Participate in work planning including calculation of testing estimates
Enforcement of quality assurance processes, measures and testing standards, providing QA expertise and support to developers
Department/Project Description
The client is an industrial asset disposition and management company, that sells heavy industrial equipment and trucks through auctions and other transactional channels. The program consisting of 20+ engineers will include Architecture, Platform and Data Management teams working from offshore and nearshore locations augmenting the existing onsite engineering team.