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Data Scientist-SQL/Python
4 weeks ago
Data Protection and Security
Design and implement data protection strategies with Protegrity.
Configure and manage encryption, tokenization, and data masking mechanisms in cloud environments.
Ensure compliance with regulations such as GDPR, CCPA, HIPAA, and other legal frameworks.
Define and enforce data governance policies in collaboration with the security and compliance teams. Cloud & Data Platform Integration
Deploy Protegrity solutions within Azure environments (ADF, Data Lake Gen2), Snowflake, and Collibra.
Integrate data security measures into Azure DevOps pipelines to ensure automated compliance.
Optimize the performance and scalability of Protegrity solutions on cloud platforms.
Use Collibra to manage data lineage, metadata, and governance.
Collaborate with data engineering and cybersecurity teams to ensure consistent application of data protection policies.
Define monitoring and alerting mechanisms to detect potential data breaches.
Continuously assess and improve data security posture across various platforms.
10+ years of experience in data security and protection, with advanced expertise in Protegrity.
~ Proficiency in encryption, tokenization, masking, and key management techniques.
~ Hands-on experience with Azure Data Factory (ADF), Azure Data Lake Gen2, Snowflake, and Collibra.
~ Expertise in cloud security (Azure) and DevSecOps integration (Azure DevOps).
~ Sound knowledge of data governance tools and compliance standards.
~ Scripting and automation skills (Python, PowerShell, SQL) preferred.
~ Good understanding of Zero Trust architectures and data privacy frameworks.