About the Role We are seeking a highly skilled Senior Data Analyst - Integrity to ensure the integrity and reliability of our data systems. As a key member of our team, you will play a critical part in designing and implementing data quality strategies that meet business needs while supporting data governance processes. You will collaborate with cross-functional teams to build robust data testing frameworks, maintain high-quality standards, and troubleshoot issues to ensure seamless data integration and performance. If you are passionate about data quality and enjoy solving complex challenges, we encourage you to apply. Key Responsibilities - Develop and implement data quality strategies to meet business needs - Lead data governance processes, including data preparation, obfuscation, integration, slicing, and quality control - Test data pipelines, ETL processes, APIs, and system performance to ensure reliability and accuracy - Prepare test data sets, conduct data profiling, and perform benchmarking to identify inconsistencies or inefficiencies - Collaborate with product, engineering, and customer teams to gather requirements and develop a comprehensive data quality strategy - Set up data quality environments and applications in compliance with defined standards, contributing to CI/CD process improvements - Participate in the design and maintenance of data platforms and build automation frameworks for data quality testing, including resolving potential issues - Provide support in troubleshooting data-related issues, ensuring timely resolution - Ensure all data quality processes and tools align with organizational goals and industry best practices Requirements - Bachelor's degree in Computer Science or a related technical field involving coding, such as physics or mathematics - At least three years of hands-on experience in Data Management, Data Quality verification, Data Governance, or Data Integration - Strong understanding of data pipelines, Data Lakes, and ETL testing methodologies - Proficiency in CI/CD principles and their application in data processing - Comprehensive knowledge of SQL, including aggregation and window functions - Experience in scripting with Python or similar programming languages - Proficiency working with one of the major cloud providers, such as AWS, Azure, or GCP - Experience in developing test automation frameworks for data quality assurance - Familiarity with Big Data principles and their application in modern data systems - Experience in data analysis and requirements validation, including gathering and interpreting business needs - Experience in maintaining QA environments to ensure smooth testing and deployment processes - Hands-on experience in Test Planning, Test Case design, and Test Result Reporting in data projects - Strong analytical skills, with the ability to approach problems methodically and communicate solutions effectively - English proficiency at B2 level or higher, with excellent verbal and written communication skills