Job DescriptionWhat You Will Do Perform data inspection classification and profiling on regional datasets to assess sensitivity and compliance requirements Design and implement data desensitization masking anonymization and pseudonymization pipelines prior to ingestion and exposure Build and maintain clean compliant and welldocumented datasets for downstream analytics and reporting Support userlevel and aggregated finetocoarse data analysis in compliance with regional data regulations Collaborate with data governance security and legalcompliance teams to translate regulatory requirements into technical controls and data workflows Enforce compliancebydesign principles no desensitization no ingestion no inspection no exposure Contribute to continuous improvement of data quality data lineage metadata management and auditability Participate in platform construction and administration under strict controls eg RBAC MFA IP allowlists separation of dutiesSkills Qualifications and Experience We Look For 35 years of experience as a Data Engineer or in a closely related role Strong handson experience with data pipelines ETLELT and data warehousing eg Spark SQL Airflow Kafka Hive or equivalent Solid understanding of data cleaning validation and quality assurance techniques Practical experience handling sensitive or regulated data PII userlevel data financial or operational data Working knowledge of data compliance concepts and regional regulations such as SOC2 HIPPA PDPA GDPR EO14117 or similar frameworks Proficiency in SQL and at least one programming language Python preferredPreferred Experience with data masking anonymization or privacypreserving analytics Familiarity with data governance frameworks metadata management and audit logging Experience operating in multiregion or crossborder data environments Exposure to cloudbased data platforms AWS GCP Azure and security best practices Prior collaboration with legal compliance or security teams
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