SAS Tester / Data Quality Specialist

We are looking for meticulous and experienced SAS Testers to support large-scale data and analytics initiatives. The role focuses on validating complex data transformations, ensuring reporting accuracy and delivering high-quality testing across modern and legacy SAS environments, including Big Data platforms.

A key objective of this role is to verify that datasets generated by SAS programs executed in a new environment using the Altair compiler are fully consistent with outputs from the existing SAS environment, while maintaining equal or better performance levels.

Project information:

• Work model: Hybrid, 2 days in the office a week
• Location: Kraków
• Contract type: B2B : 140 net per hour
• Project language: English
• Start day: ASAP

Key responsibilities:

• Creating, maintaining, and executing test strategies, test plan,s and detailed test cases for SAS-based data solutions
• Performing data reconciliation and validation between source systems and target environments to ensure data accuracy and consistency
• Working closely with development teams to understand business and technical requirements and convert them into effective test scenarios
• Executing functional, regression and system tests for SAS programs and ETL workflows
• Validating data processing logic by analysing large datasets in Big Data environments such as Hadoop or Hive
• Recording test outcomes, identifying defects and preparing clear, structured reports for stakeholders
• Managing and monitoring job execution using Control-M
• Supporting troubleshooting activities and cooperating with cross-functional teams to ensure timely issue resolution
• Using Linux command-line tools and scripting where applicable (not mandatory but highly beneficial)

Required skills & experience:

• Practical knowledge of testing frameworks and structured testing approaches
• Strong hands-on experience with SAS programming, including:
• Base SAS
• SAS Macros
• SAS SQL
• SAS Enterprise Guide
• DI Studio
• Stored Processes
• SCL
• SAS E-Miner
• Experience in data validation and reconciliation across multiple systems
• Solid understanding of ETL processes, data warehousing concepts and data quality principles
• Familiarity with test management and defect tracking tools (e.g. JIRA, HP ALM)
• Strong analytical mindset with high attention to detail
• Excellent communication skills and ability to collaborate with technical and business teams

Nice to have:

• Exposure to Altair tools (Workbench, Hub, SLC)
• Hands-on experience with Big Data technologies such as Hadoop and Hive
• Experience in the banking or financial services sector
• Familiarity with test automation frameworks used for data validation

What we offer:

• Hybrid model from Kraków - 2 days per week
• Long-term cooperation on stable, data-intensive projects
• Opportunity to work in an international, professional environment
• High level of autonomy and responsibility
• Private medical care and MultiSport Card