Test Data Engineer
3 days ago
Key Responsibilities:
1. Data Quality Assurance:
- Develop and implement comprehensive data testing strategies, plans, and scripts to ensure data integrity and accuracy.- Perform data validation, data transformation, and data migration testing.- Identify, document, and track data quality issues and defects, and work with development teams to resolve them.
1. Test Data Management:
- Design and maintain test data management processes, including the creation, maintenance, and provisioning of test data sets.- Ensure test data sets are representative of production data and meet the testing requirements.- Automate test data generation and management processes where possible.
1. Automation and Tools:
- Develop and maintain automated data testing frameworks and scripts.- Utilize data quality and testing tools (e.g., Talend, Informatica, QuerySurge, DQ tools) to perform testing and validation.- Integrate data testing processes with CI/CD pipelines to ensure continuous testing and delivery.
1. Collaboration and Communication:
- Collaborate with data engineers, data scientists, and business analysts to understand data requirements and testing needs.- Provide detailed reports and insights on data quality and testing outcomes to stakeholders.- Mentor and guide junior team members in data testing best practices and methodologies.
1. Performance and Scalability Testing:
- Conduct performance and scalability testing of data systems and solutions.- Identify and address performance bottlenecks and issues to ensure optimal data system performance.
1. Compliance and Best Practices:
- Ensure data testing processes comply with industry standards and best practices.- Stay updated with the latest trends and advancements in data testing and quality assurance.
Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, or a related field. A Master’s degree is a plus.- 8-14 years of experience in data quality assurance, data testing, or a related field.- Strong knowledge of data management, data governance, and data quality principles.- Proficiency in SQL and scripting languages such as Python or Shell.- Experience with data testing and quality tools (e.g., Talend, Informatica, QuerySurge).- Experience with test automation frameworks and tools.- Familiarity with CI/CD pipelines and version control systems (e.g., Git).- Excellent analytical and problem-solving skills.- Strong communication and interpersonal skills.- Ability to work effectively in a fast-paced, collaborative environment.
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