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 plans, 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 close 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