QA Data Engineer

Ability to think analytically and to analyze processes and data

Advanced knowledge of Python and SQL

Ability to write unit tests in Python (including knowledge of relevant libraries for this, e.g. pytest, unittest)

Knowledge of REST API concepts and familiarity with tools for using and testing APIs (e.g. Postman, SoapUI)

Knowledge of techniques and tools for creating automated end-to-end tests for data acquisition and processing processes

Experience working with relational and non-relational databases

Ability to use JIRA/ClickUp tools and git repositories

Experience in designing and describing scenarios and test cases for internal (integration, user) and acceptance tests (UAT) 

Knowledge of English at min. B2

Experience with Azure and/or AWS

Ability to define and optimize code and data quality assurance processes, as well as implement good practices in this area

Use of AI in the area of Data Quality (automation of test scenario generation, test data, etc.)

Familiarity with concepts of Data Warehouses,Data Lakes, Lakehouse architecture (e.g., Databricks), ETL/ELT processes, data quality verification techniques

ISTQB certification

Data/ETL/ELT Process Testing: Validate the accuracy of data extraction from various sources; Ensure the correctness of data transformations throughout the transformation process; Confirm the accurate loading of data into target systems; Conduct performance testing to ensure efficiency and reliability

API Testing: Verify the accuracy of data transmitted via APIs; Test the functionalities and services provided by programming interfaces; Validate user interfaces (UI) for compliance with specifications; Test application functionality and behavior to ensure optimal performance

Configuration File Validation: Create and implement validation rules for configuration files

Reports Testing: Verify that reports and dashboards (in visualization tool i.e. PowerBi) are functioning correctly; Ensure that filters, drill-downs, and other interactive features work as expected

Comprehensive Testing: Perform various types of tests including functional, integration and regression tests to ensure thorough software and data validation; Assist in the UAT process, gathering feedback from end-users

Documentation and Reporting: Prepare detailed test documentation based on business analysis requirements; Report and track bugs in Jira/ClickUp, conducting initial analyses of identified issues

Global projects in clouds — we work with clients from all over the world based on modern cloud technologies

Certification reimbursement — we fund exams, certifications from Microsoft, AWS, Databricks, ISTQB

Time to learn — 60 paid hours per year  

Flexible approach — you can choose to work from home or meet at our offices

Personalized benefits — medical care, subsidized sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonus