Senior Data Quality Engineer

We are seeking an experienced and accomplished **Senior Data Quality Engineer** to join our team, driving the reliability, accuracy, and efficiency of our data systems and processes at scale. If you are passionate about shaping high\-impact data quality initiatives and are eager to work with advanced technologies, this role will empower you to influence the future of our data landscape. **Responsibilities** * Oversee end\-to\-end data quality strategy, ensuring rigorous testing and reliability of data products and processes * Drive data quality initiatives while instilling best practices across multiple teams and projects * Define and enforce advanced testing methodologies and frameworks to ensure enterprise\-level data quality * Prioritize and manage complex data quality tasks, optimizing efficiency under tight timelines and competing demands * Architect and maintain robust testing strategies tailored to evolving system architectures and data pipelines * Advise on resource allocation, setting priorities for testing aligned with regulatory and business standards * Establish and continuously enhance a robust data quality governance framework, overseeing compliance with industry standards * Develop, scale, and refine automated data quality validation pipelines for production systems * Collaborate at a high level with cross\-functional teams to resolve infrastructure challenges and optimize performance * Mentor junior engineers while maintaining comprehensive documentation, including versions of test strategies and advanced test plans **Requirements** * 3\+ years of professional experience in Data Quality Engineering * Advanced programming skills in Python * Deep expertise in Big Data platforms, including Hadoop ecosystem tools (HDFS, Hive, Spark) and modern streaming platforms (Kafka, Flume, Kinesis) * Strong practical knowledge of NoSQL databases such as Cassandra, MongoDB, or HBase, with a track record of handling enterprise\-scale datasets * Advanced skills in data visualization and analytics tools (e.g., Tableau, Power BI, Tibco Spotfire) to support decision\-making * Extensive hands\-on experience with cloud ecosystems like AWS, Azure, and GCP, including a strong understanding of complex multi\-cloud architectures * Demonstrated expertise with relational databases and SQL (PostgreSQL, MSSQL, MySQL, Oracle) in high\-volume, real\-time environments * Proven ability to implement, troubleshoot, and scale ETL processes using tools like Talend, Informatica, or similar platforms * Experience deploying and integrating MDM tools into existing workflows, with knowledge of performance testing tools such as JMeter * Advanced experience in version control systems (Git, GitLab, or SVN) and automation/scripting for large\-scale systems * Comprehensive knowledge of modern testing frameworks (TDD, DDT, BDT) and their application in data\-focused environments * Familiarity with CI/CD practices, including implementation of pipelines using tools like Jenkins or GitHub Actions * Highly developed problem\-solving abilities and an analytical mindset capable of interpreting complex datasets into actionable business outcomes * Exceptional verbal and written communication skills in English (B2 level or higher), paired with experience guiding discussions with stakeholders **Nice to have** * Extensive hands\-on experience with programming languages like Java, Scala, or advanced Bash scripting for production\-level data solutions * Advanced knowledge of XPath and its applications in data validation or transformation workflows * Experience designing customized data generation tools and sophisticated synthetic data techniques for testing scenarios