Job Opportunities API

Job Description What 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 well-documented datasets for downstream analytics and reporting. - Support user-level and aggregated (fine-to-coarse) data analysis in compliance with regional data regulations. - Collaborate with data governance, security, and legal/compliance teams to translate regulatory requirements into technical controls and data workflows. - Enforce compliance-by-design 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 (e.g., RBAC, MFA, IP allowlists, separation of duties). Skills, Qualifications, and Experience We Look For - 3–5 years of experience as a Data Engineer or in a closely related role. - Strong hands-on experience with data pipelines, ETL/ELT, and data warehousing (e.g., 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, user-level 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 preferred). Preferred - Experience with data masking, anonymization, or privacy-preserving analytics. - Familiarity with data governance frameworks, metadata management, and audit logging. - Experience operating in multi-region or cross-border data environments. - Exposure to cloud-based data platforms (AWS, GCP, Azure) and security best practices. - Prior collaboration with legal, compliance, or security teams.