Data Engineer

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.