Join EPAM as a Data Governance Engineer to support a critical Enterprise Data Platform (EDP) initiative focused on Personally Identifiable Information (PII) protection. In this role, you will reinforce data governance, security and compliance across large-scale production environments, including data warehouses and data lakes.
Responsibilities
- Conduct full inventories of existing data assets across EDP production environments to identify, scan and validate fields containing PII
- Define data classification criteria with stakeholders, tag data fields and maintain a comprehensive data classification glossary
- Develop scenario-specific data management rules and formalize standard specifications for data processing
- Design, document and implement standard data masking and encryption procedures aligned with data sensitivity levels
- Define data retention periods and deploy automated archiving or deletion jobs based on legal, regulatory and business requirements
- Establish monitoring, audit and reporting processes to ensure ongoing compliance and effectiveness of implemented standards
Requirements
- Proven experience in data governance, data security or data compliance roles within large-scale enterprise data platforms
- Comprehensive understanding of PII identification, classification and protection best practices
- Demonstrated ability to design and document standard data masking, encryption and lifecycle management procedures
- Strong proficiency in scripting and programming languages such as SQL, Python or Shell for data scanning, tagging and automation
- Track record of successfully defining and implementing data retention rules aligned with legal and regulatory frameworks
- Experience collaborating with cross-functional stakeholders to define business criticality and sensitivity criteria
- Hands-on experience developing and deploying automated jobs for data archiving, deletion and auditing
- Strong background in establishing monitoring and reporting processes to validate data compliance
Nice to have
- Prior experience working on complex data warehouse and data lake production environments
- Familiarity with data privacy regulations and compliance standards in China