Data Warehouse QA Tester — Snowflake & AWS

Jit Team; Województwo pomorskie; Hybrid; PLN 185,000 - 203,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Jit Team is seeking a skilled QA Tester with strong Data Warehouse Testing experience to join an ongoing data-focused initiative. The project leverages Snowflake, AWS, and dbt to support complex ETL processes and large-scale data transformations.

You will collaborate with Data Engineers and Developers to ensure data accuracy, validate critical data flows, and drive improvements to the data platform from day one. Hybrid work model from Gdynia/Gdańsk/Warszawa/Łódź.

Qualifications

• Proven experience in Data Warehouse Testing.
• Hands-on experience with Snowflake.
• Strong knowledge of SQL and data validation techniques.
• Experience testing ETL/Data Integration processes.
• Experience working with AWS.
• Knowledge of dbt and testing data transformations.
• Ability to analyze large datasets and identify data quality issues.
• Experience working in Agile environments.
• Familiarity with Jira and test management tools.

Responsibilities

• Validate complex data pipelines and ETL processes.
• Perform end-to-end testing of data warehouse solutions.
• Verify data quality, consistency, completeness, and accuracy.
• Create and execute SQL-based test scenarios.
• Review and validate data transformations implemented in dbt.
• Support automation of data validation processes.
• Collaborate closely with developers, data engineers, and business stakeholders; identify, document, and track defects.
• Contribute to continuous improvement of testing processes.

Skills

Data Warehouse Testing

SQL proficiency

Data validation

Agile collaboration

Test automation awareness

Tools

Snowflake

dbt

AWS

Jira

qTest

Playwright

Python

JavaScript

TypeScript

Job description

Jit Team is seeking a skilled QA Tester with strong Data Warehouse Testing experience to join an ongoing data-focused initiative. The project leverages Snowflake, AWS, and dbt to support complex ETL processes and large-scale data transformations.

You will collaborate with Data Engineers and Developers to ensure data accuracy, validate critical data flows, and drive improvements to the data platform from day one. Hybrid work model from Gdynia/Gdańsk/Warszawa/Łódź.