Data QA Specialist / Data Tester (f/m/x)

Sii Poland

Białystok

On-site

PLN 120,000 - 180,000

Full time

42 hours ago
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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 our global team working on data-driven initiatives across multiple projects. You will validate data quality, test ETL processes, and ensure reliable data pipelines used throughout the organization.

Collaborate with Data Engineers, Developers, and Business Stakeholders to deliver high-quality data. Prior experience in Snowflake and SQL is required, with Python as a nice-to-have. This is a full-time, on-site role in Poland.

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.

Responsibilities

  • Perform testing of data solutions, ETL processes, and data pipelines.
  • Validate data quality, consistency, and accuracy across multiple data sources.
  • Execute data warehouse and Snowflake testing activities.
  • Perform data reconciliation and identify data quality issues.
  • Create and maintain test scenarios and test documentation.
  • Collaborate with Data Engineers, Developers, and Business Stakeholders to ensure high-quality data delivery.

Skills

Data QA
Data Testing
ETL
SQL
Snowflake
Data Warehouse
Data Quality

Tools

Python

Job description

We are looking for an experienced Data QA Specialist / Data Tester to join a global team working on data-driven initiatives across multiple projects. In this role, you will be responsible for validating data quality, testing ETL processes, verifying data warehouse solutions, and ensuring the reliability of data pipelines used across the organization.

We are seeking professionals who can quickly adapt to different projects and business domains while maintaining a strong focus on data accuracy, consistency, and quality.

Your tasks
  • 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
Requirements
  • 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
Nice to have
  • Experience with Python

Job no. JOB-8YX3M

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Benefits For You
  • 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
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