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