Data QA Engineer: Validate Pipelines & Data Warehouses

Sii Poland; Wrocław; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Great Place to Work

Solid financial situation

Contracts with the biggest brands

Centre of internal trainings

Many experts you can learn from

Open and accessible management team

Profit sharing

Passion Sponsorship program

Regular integration events and trips

Comfortable and well-equipped offices

MySii app

Medical care

Job summary

Sii Poland is seeking an experienced Data QA Specialist to join a global team focused on data-driven initiatives across multiple projects. You will validate data quality, test ETL processes, and verify data warehouse solutions to ensure reliable data pipelines.

The role emphasizes adapting to different projects and domains while maintaining accuracy and quality. You will collaborate with Data Engineers, Developers, and Business Stakeholders to deliver high-quality data.

Qualifications

• Minimum 3 years of experience as a Data QA Engineer, Data Tester, or similar role.
• Experience with ETL testing and data warehouse validation.
• Strong SQL knowledge and Snowflake experience.
• Experience with data reconciliation and data quality checks.
• Ability to adapt to multiple projects and business domains.

Responsibilities

• Testing data solutions, ETL processes, and data pipelines.
• Validating data quality across multiple sources.
• Performing data warehouse and Snowflake testing.
• Performing data reconciliation and identifying data quality issues.
• Creating and maintaining test scenarios and documentation.
• Collaborating with Data Engineers, Developers, and Business Stakeholders to ensure high-quality data delivery.

Skills

SQL

ETL testing

Data quality checks

Data reconciliation

Tools

Snowflake

Python

Job description

Sii Poland is seeking an experienced Data QA Specialist to join a global team focused on data-driven initiatives across multiple projects. You will validate data quality, test ETL processes, and verify data warehouse solutions to ensure reliable data pipelines.

The role emphasizes adapting to different projects and domains while maintaining accuracy and quality. You will collaborate with Data Engineers, Developers, and Business Stakeholders to deliver high-quality data.