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.
- Bachelor’s or Master’s 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
Bachelor’s or Master’s degree in a technology-related field (Computer Science, Engineering, etc.).