Senior Data Quality Engineer

Job Summary: We are seeking an experienced Senior Data Quality Engineer with strong expertise in ETL testing, data validation, and test automation. This role supports the Legal, Risk & Compliance Technology Domain, working closely with Data Engineers, Analysts, and other technical partners to ensure data integrity and quality across all development phases. The ideal candidate will bring a deep understanding of SDLC/STLC, data testing methodologies, automation frameworks, and cloud-based data platforms. Key Responsibilities: Perform data validation, ETL, and Data Warehouse/Datalake testing to ensure high-quality data delivery. Analyze data, identify discrepancies, and independently troubleshoot data issues. Design and implement data test strategies and automation frameworks for functional and regression testing. Write complex SQL queries and work with databases such as Oracle and Netezza. Integrate test automation into CI/CD pipelines using tools like Jenkins, UDeploy, or Concourse. Collaborate with cross-functional teams including Business Analysts, Developers, and Partners to ensure testing deliverables are met. Lead and mentor a team of data test engineers, providing technical guidance and best practices. Conduct root cause analysis for defects and implement quality process improvements. Ensure compliance with QA standards and participate in Agile ceremonies. Required Skills: Strong knowledge of SDLC and STLC methodologies. Expertise in ETL/Data Warehouse/Data Lake testing. Proficient in SQL, Python, Unix, and Shell scripting. Experience with relational databases (Oracle, Netezza). Hands-on experience in test automation using Java-based frameworks. Knowledge of Cloud platforms (AWS, Azure) and data platforms like Snowflake. Familiarity with CI/CD tools (Jenkins, Concourse, UDeploy). Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Bachelors or Masters degree in Computer Science, Engineering, or related field. Minimum of 6 years of IT experience in testing and automation. Preferred Skills: Experience with reporting and visualization tools (Power BI, Tableau). Familiarity with data test automation tools such as iCEDQ. Education: Bachelors or Masters degree in a technology-related field (Computer Science, Engineering, etc.).