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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

Kraków - Oferty pracy w okolicznych lokalizacjach