Data QA Engineer: ETL & Snowflake Testing

Sii Poland; Rzeszów; On-site; PLN 100,000 - 160,000; 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 validate data quality and test ETL processes across multiple projects. You will ensure reliable data pipelines and collaborate with data engineers, developers, and stakeholders to deliver accurate data solutions.

The role focuses on data testing, warehouse validation, and Snowflake testing, with a strong emphasis on data accuracy and cross-project adaptability.

Qualifications

• 3+ years of experience as a Data QA Engineer, Data Tester, or similar role.
• Strong experience with ETL pipelines and data warehouse validation.
• Proficiency in SQL and Snowflake.
• Experience with data reconciliation and data quality checks.
• Able to work across multiple projects and 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

Data testing

ETL testing

SQL

Snowflake

Data quality

Data reconciliation

Tools

Python

Job description

Sii Poland is seeking an experienced Data QA Specialist to validate data quality and test ETL processes across multiple projects. You will ensure reliable data pipelines and collaborate with data engineers, developers, and stakeholders to deliver accurate data solutions.

The role focuses on data testing, warehouse validation, and Snowflake testing, with a strong emphasis on data accuracy and cross-project adaptability.