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Senior Data Engineer (Perp DEX)
Hyphen Connect Limited
Hong Kong3mo ago
- Seniority
- Senior
About the role
<p>We are representing a leading force in the decentralized exchange (DEX). We are seeking a seasoned Data Engineer to spearhead the development of robust data architectures. In this role, you will be responsible for the end-to-end lifecycle of data, from ingestion to insight, ensuring our infrastructure is both high-performing and scalable to meet the demands of a fast-paced business environment.</p>
<p data-path-to-node="5"><strong data-path-to-node="5" data-index-in-node="0">Key Responsibilities</strong></p>
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<p data-path-to-node="6,0,0"><strong data-path-to-node="6,0,0" data-index-in-node="0">Design & Architecture:</strong> Architect, build, and maintain scalable data pipelines and sophisticated ETL processes to support complex data ecosystems.</p>
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<p data-path-to-node="6,1,0"><strong data-path-to-node="6,1,0" data-index-in-node="0">Infrastructure Optimization:</strong> Enhance data warehouse performance and implement rigorous data quality frameworks to ensure "single source of truth" reliability.</p>
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<p data-path-to-node="6,2,0"><strong data-path-to-node="6,2,0" data-index-in-node="0">Strategic Partnership:</strong> Collaborate closely with Product, Engineering, and Go-to-Market teams to translate business requirements into actionable data solutions.</p>
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<p data-path-to-node="6,3,0"><strong data-path-to-node="6,3,0" data-index-in-node="0">Operational Excellence:</strong> Develop automated monitoring systems to proactively identify and resolve pipeline bottlenecks.</p>
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<p data-path-to-node="6,4,0"><strong data-path-to-node="6,4,0" data-index-in-node="0">Agile Response:</strong> Execute high-priority, ad-hoc data requests and critical analyses with speed and precision to support urgent stakeholder decision-making.</p>
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</ul>
<p data-path-to-node="7"><strong data-path-to-node="7" data-index-in-node="0">Required Qualifications & Skills</strong></p>
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<p data-path-to-node="8,0,0"><strong data-path-to-node="8,0,0" data-index-in-node="0">Professional Experience:</strong> Minimum of 7+ years in dedicated Data Engineering roles, ideally within a high-growth environment.</p>
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<p data-path-to-node="8,1,0"><strong data-path-to-node="8,1,0" data-index-in-node="0">Advanced Data Modeling:</strong> Deep expertise in data architecture, warehouse design (e.g., Star/Snowflake schemas), and modern ETL/ELT best practices.</p>
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<p data-path-to-node="8,2,0"><strong data-path-to-node="8,2,0" data-index-in-node="0">Technical Stack:</strong> Mastery of the modern data stack, including <strong data-path-to-node="8,2,0" data-index-in-node="61">Snowflake</strong>, <strong data-path-to-node="8,2,0" data-index-in-node="72">Airflow</strong>, and <strong data-path-to-node="8,2,0" data-index-in-node="85">dbt</strong>.</p>
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<p data-path-to-node="8,3,0"><strong data-path-to-node="8,3,0" data-index-in-node="0">Cloud & Infrastructure:</strong> Strong proficiency with <strong data-path-to-node="8,3,0" data-index-in-node="48">AWS</strong> services and experience managing distributed systems.</p>
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<p data-path-to-node="8,4,0"><strong data-path-to-node="8,4,0" data-index-in-node="0">Stream Processing:</strong> Hands-on experience with data streaming technologies such as <strong data-path-to-node="8,4,0" data-index-in-node="80">Kafka</strong> or <strong data-path-to-node="8,4,0" data-index-in-node="89">Kinesis</strong> to optimize large-scale workflows.</p>
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<p data-path-to-node="8,5,0"><strong data-path-to-node="8,5,0" data-index-in-node="0">Problem Solving:</strong> A proven ability to navigate ambiguity and deliver high-quality solutions under tight deadlines.</p>
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</ul>
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