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Location
In office (Singapore)
Employment
Full-Time
Overview
Company
Impact
Profile match
Fuku is a fast-casual restaurant concept founded by chef David Chang that specializes in Asian- and Southern-inspired spicy fried chicken. Originating from a secret menu item at Momofuku Noodle Bar in New York, the brand has grown into a standalone culinary concept known for its signature chicken sandos, tenders, and sides. Today, Fuku operates through brick-and-mortar locations, major sports arenas, airports, and high-traffic venues across the United States.

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.

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