Data QA & ETL Validation Specialist

Sii Poland; Warszawa; On-site; PLN 120,000 - 160,000; Full time

Benefits offered by this job

Great Place to Work

Medical care

Centre of internal trainings

Profit sharing

Open and accessible management

Job summary

Sii Poland is seeking an experienced Data QA Specialist to validate data quality and test ETL processes across multiple projects. The role focuses on ensuring reliability of data pipelines and data warehouse validation within a global team.

Strong SQL and Snowflake experience are essential, with exposure to Python considered a plus. You will collaborate with Data Engineers, Developers, and stakeholders to maintain high data quality and consistency across diverse domains.

Qualifications

• At least 3 years of experience as a Data QA Engineer, Data Tester, or in a similar role.
• Strong background in data testing, including ETL and data warehouse validation.
• Good knowledge of SQL and experience working with Snowflake.
• Experience with data reconciliation, data quality checks, and testing data pipelines.
• Ability to work across different projects and business domains.

Responsibilities

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

Skills

SQL

Snowflake

ETL Testing

Data Pipelines

Data QA

Python

Tools

Snowflake

Job description

Sii Poland is seeking an experienced Data QA Specialist to validate data quality and test ETL processes across multiple projects. The role focuses on ensuring reliability of data pipelines and data warehouse validation within a global team.

Strong SQL and Snowflake experience are essential, with exposure to Python considered a plus. You will collaborate with Data Engineers, Developers, and stakeholders to maintain high data quality and consistency across diverse domains.