Data Engineer
Core
Design and implement data desensitization, masking, and anonymization pipelines to ensure compliance with regional regulations before data ingestion and exposure.
Role type
Data Engineer (Data Privacy & Compliance)
Builds
Clean, compliant, and well-documented datasets for downstream analytics and reporting
Domain
Data Engineering, Data Privacy, Regulatory Compliance
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data pipeline development, ETL/ELT, Data warehousing, Data cleaning and validation, SQL, Python, Data masking and anonymization, Data lineage management, RBAC implementation, MFA configuration
Preferred skills
Privacy-preserving analytics, Metadata management, Cross-border data environment operations, Cloud platform administration (AWS, GCP, Azure), Legal and security team collaboration
Technologies
Spark, SQL, Airflow, Kafka, Hive, AWS, GCP, Azure
Responsibilities
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; Build and maintain clean, compliant, and well-documented datasets; Support user-level and aggregated data analysis in compliance with regional data regulations; Collaborate with data governance, security, and legal/compliance teams to translate regulatory requirements into technical controls; Enforce compliance-by-design principles; Contribute to continuous improvement of data quality, data lineage, metadata management, and auditability; Participate in platform construction and administration under strict controls
Seniority
Mid-level, hands-on IC
