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Prior Crypto Exchange/Crypto Product Experience is Essential.
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Strong Critical Thinking and Problem-Solving Skills: Capacity to analyze complex, often novel, technical and control environments unique to crypto, identify intricate root causes of issues, and propose effective, context-specific solutions.
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Fundamental Understanding of Blockchain Technology: Basic knowledge of distributed ledger technologies, consensus mechanisms (e.g., PoW, PoS), cryptography (hashing, public-key), and the lifecycle of a cryptocurrency transaction.
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Data Analytics/SQL for Blockchain Data: Advanced ability to perform complex queries, data modeling, and statistical analysis across diverse datasets. This includes analyzing CI/CD pipeline logs, git commit history, dependency manifests, and configuration management logs to identify security vulnerabilities, misconfigurations, and deviations from secure coding standards across the development lifecycle. It also extends to complex data profiling, data quality analysis, identifying sensitive data across both traditional databases and blockchain data, and monitoring data access patterns for security and regulatory compliance in the crypto context.
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Data Governance Auditing: Expertise in independently assessing data governance frameworks that cover both on-chain and off-chain data, ensuring proper classification, ownership, and lifecycle management of sensitive crypto-related information.
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Data Quality Auditing: Ability to independently evaluate data quality controls with a focus on transactional integrity, reconciliation, and consistency across disparate systems (e.g., internal ledgers vs. blockchain explorers).
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Data Security and Privacy Auditing: Critical. Deep understanding of global data privacy regulations and their specific application to crypto assets and user data (e.g., pseudonymity, unmasking on-chain data, handling of KYC/AML data), along with the ability to independently audit compliance with these complex requirements.
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Data Modeling and Architecture Auditing: Strong knowledge of data modeling techniques for both traditional databases and blockchain structures. Ability to independently audit the design and implementation of data architectures that integrate on-chain data, off-chain transactional data, and analytics platforms.
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Extract Transform Load (ETL) Process Auditing: Ability to independently assess the security, integrity, accuracy, and completeness of complex ETL processes that ingest, transform, and load data from blockchain networks, external APIs, and internal systems for reconciliation and analytics.
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Database Management System (DBMS) Auditing: Expertise in independently auditing the security configuration, access controls, logging, and patching of traditional databases and specialized data stores used for blockchain nodes (e.g., LevelDB, RocksDB) and high-performance transactional data.
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Risk Management Principles for Data Privacy & Engineering Auditing: Advanced grasp of risk identification, assessment, mitigation, and monitoring methodologies specifically tailored to the high-stakes, real-time, and often irreversible nature of crypto transactions and sensitive data handling.
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Knowledge of Specific Regulatory Requirements impacting Data Privacy & Engineering: Understanding of specific regulatory requirements impacting crypto exchanges globally (e.g., GDPR, CCPA, anti-money laundering (AML), combating the financing of terrorism (CFT) as per FATF, sanctions compliance, specific licensing requirements for Virtual Asset Service Providers (VASPs)) and how these translate to technical controls relevant to data privacy and engineering.