Position: Manual/Auto QA engineer
Company: GlobalLogic
Category: QA
Experience required: 2y
English level: upper
Published: 2022-02-01T00:00:00+02:00

Our client is one of the leading companies on the market which provides Big Data, Data Integration, Data Preparation and Enterprise Application Integration software and services. Its products allow to build data integration processes, migrate data safely, process big amounts of data, cleanse data and check its quality.


Connector (aka Component) is a core element of the products, which allows to connect, extract data from a data source, transform data according to business needs and load data back to some storage. It is used in traditional software such as Studio for Data Integration as well as in the modern Cloud services.

Continuous emerging of new technologies and data repositories lead to demand growth of creating new connectors and adapting the existing ones.

For this reason, we are looking for a QA to join the team to address the demand and provide our client with the best quality service.


Job Description
Skills & Competencies:

Over 2 years of practical experience in software testing;

Experience with Linux platforms and Databases (MySQL/Oracle/SQL Server...);

Working experience with GIT or Maven is a plus;

Ability to understand, read and write Java code;

Experience with UI testing;

English (both spoken and written) at least at Intermediate level that allows communicating with an international team on a daily basis.

 

Job Responsibilities
Key Responsibilities:

Plan, develop, implement and execute test plans and procedures;

Analyze, qualify and report product defects;

Specify and design test suites for complex products with focus on product quality;

Installation and maintenance of several technical environments (Operating System, database, application server...); 

 

Advantages:

Smooth onboarding process;
Chance to work with a great variety of technologies and DBs (both SQL and non-SQL such as Snowflake, PostgreSQL, Mongo, Cassandra, DynamoDB, Neo4j);
Work collaboratively in a distributed international team (France, Germany, China).