Position: Junior Data quality engineer
Company: Intellias
Experience required: 1y

Description:

The key objective of the cooperation is to assist with the development of a platform aimed at transforming corporate data sets into valuable insights that could drive management decisions and increase the efficiency of business processes.

As a part of the Corporate Analytics team, you will need to demonstrate a proven track record in quality documentation development from data extraction to representation, ensuring that our processes consistently meet established quality standards.

Responsibilities:
- Drive consistency, adoption, and integration of quality standards in the development of internal technical documentation;
- Write, support, and polish test documentation, including test cases, bug reports, test plan;
- Execute functional, acceptance, regression, and performance testing;
- Analyze, estimate and validate testing efforts;
- Communicate daily with other departments and team members;
- Participate in meetings and requirements discussions to ensure the product’s compliance with set requirements;
- Suggest improvements of the processes to increase product’s quality and performance of the team;
- Manage various data sources and connection between them;
- Maintain the existing reporting solution;
- Provide feedback and support of end-users in case of incidents.

Skills requirements:
- 1
+ years of hands-on testing experience in the software development environment;
- Understanding of main principles of software testing theory;
- Proven expertise in Windows stack, including Windows Terminal, command line, browsers, etc.;
- Experience with JIRA and other bug tracking tools;
- Strong knowledge of SQL;
- Familiarity with data extraction exchange, including JSON, XML, CSV, API;
- Experience with databases and version control systems;
- Analytical thinking, ability to formulate a problem clearly and succinctly;
- Intermediate level of English.

Will be a plus:
- Experience with Postman and Cloud-based data warehouse platforms;
- Understanding of data modeling concepts and CI\CD processes;
- Testing experience with Power BI or other analytics tools;
- Experience in QC metrics gathering and maintenance;
- Basic skills in automation testing.