
Data Science Engineer
1 week ago
About the Role:
We are seeking a seasoned Test Data Management professional to lead our TDM strategy, design and implement effective test data solutions, and ensure compliance with data privacy regulations.
The ideal candidate will have 7+ years of experience in Test Data Management, Data Governance, or Data Engineering, with hands-on experience with Informatica Data Masking (TDM, ILM) tools.
Key Responsibilities:
- Design and implement test data management strategies to support enterprise-wide testing initiatives.
- Configure and manage Informatica TDM/Data Masking tools to create, subset, and mask sensitive data across environments.
- Analyze source systems and identify Personally Identifiable Information (PII) and other sensitive data that require masking.
- Implement data obfuscation to ensure compliance with data privacy standards.
- Work with stakeholders to understand test data requirements and deliver fit-for-purpose datasets for functional, integration, performance, and UAT testing.
- Optimize test data provisioning processes to improve testing efficiency and reduce cycle times.
- Collaborate with DBAs, developers, testers, and compliance teams to ensure alignment on data handling practices.
- Monitor and troubleshoot issues with TDM solutions and provide timely resolutions.
- Document TDM frameworks, best practices, and guidelines for reusability across the organization.
Requirements:
- Bachelor's/master's degree in computer science, Information Technology, or related field.
- 7+ years of experience in Test Data Management, Data Governance, or Data Engineering.
- 3+ years of hands-on experience with Informatica Data Masking (TDM, ILM) tools.
- Strong hands-on experience with Informatica TDM (Test Data Management), ILM (Information Lifecycle Management), and Persistent Data Masking.
- Knowledge of Informatica Data Engineering Integration (DEI), Informatica Data Quality (IDQ), PowerCenter for ETL integration with TDM.
- Experience with static and dynamic data masking across RDBMS, files, and applications.
- Proficiency in data sub-setting, synthetic data generation, cloning, and archiving using Informatica tools.
- Working knowledge of Informatica Developer, Metadata Manager, and Model Repository Service.
- Strong understanding of RDBMS (Oracle, SQL Server, DB2, PostgreSQL, MySQL) and ability to write complex SQL queries.
- Proven track record of working with data privacy frameworks and compliance standards.
- Knowledge of ETL processes, data warehousing concepts, and data migration testing.
- Familiarity with cloud platforms (AWS, Azure, GCP) and data security in cloud environments is a plus.
- Excellent problem-solving, communication, and stakeholder management skills.
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