Experienced QA Engineer

Pracovní nabídka

Overview
Join our DWH Analytics team as a QA Engineer and play a pivotal role in shaping the reliability of the data that drives strategic business decisions. This is not just about testing - it is about building trust in the insights that fuel growth, innovation, and competitive advantage.

In this role, you will tackle the exciting challenge of ensuring high-quality data integration, flawless Snowflake transformations, and accurate Power BI reporting in a rapidly scaling environment. Your work will directly impact executives and teams across the company, giving them the confidence to move faster and smarter.

If you are passionate about data quality, love solving complex problems, and want your contributions to be felt company-wide, this is your opportunity to become the guardian of data-driven decision making.

Responsibilities
Data Quality Testing:

• Perform data validation testing to ensure accuracy, completeness, and consistency of data transformations using DBT.
• Validate data quality checks, monitoring systems, and troubleshoot data-related issues in collaboration with the development team.

BI Testing and Validation:

• Test Power BI reports and dashboards for functionality, performance, and user experience.
• Validate report calculations, data aggregations, and visualizations against business requirements.

Test Planning and Documentation:

• Participate in requirements gathering sessions to understand business needs and identify testing scope.
• Create comprehensive test plans, test cases, and test scripts for data warehouse and BI projects.
• Document defects, track issues through resolution, and maintain testing documentation.

Quality Assurance Process:

• Collaborate with BI developers to establish testing standards and best practices for data projects.
• Support user acceptance testing (UAT) and work closely with business teams to validate solutions.

Growth and Development:

• Actively participate in team knowledge-sharing sessions and technical discussions.
• Stay updated with testing methodologies, tools, and best practices in data warehousing and BI testing.
• Take initiative to learn new testing tools and technologies relevant to the data analytics domain.

Qualifications

• 2+ years of experience in manual testing
• Knowledge of SQL and database testing concepts.
• Experience with test case design and execution.
• Familiarity with BI tools testing, preferably Power BI.
• Strong analytical mindset and attention to detail.
• Good communication skills and ability to work effectively in a team environment.
• Experience with data warehousing testing concepts is a plus.
• Knowledge of automated testing tools and frameworks is a plus but not required.
• Familiarity with Snowflake, DBT, or similar data platforms is a plus but not required.

Perks & Benefits

• 5 weeks of holidays + extra corporate days off
• Sick days
• Flexibility to work from home most of the week
• Certain flexibility to schedule your working hours
• Cafeteria system (use points on Pluxee, pension/life insurance, or Multisport card)
• Meal allowance

Recruitment Fraud Notice: IDC would like to inform you that we conduct our formal communications via corporate email, our Applicant Tracking System iCIMS, LinkedIn messaging, or directly by phone. We do not use any other platform (including Telegram, WhatsApp, Signal, text, instant message, etc.) to communicate with prospective candidates. If you receive any communication outside of our formal communications channels, please ignore it and block the sender or caller. In addition, we do not ask candidates to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to represent a job offer, please report it as potential job fraud to law enforcement.

IDC is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.