Platform Data Engineer

Hytech
Singapore, Singapore
Salary not specified
Posted
Full-time
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Job Description

About Us Hytech is a global management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We empower our clients with comprehensive consulting solutions and robust middle- and back-office support, enabling streamlined operations and forward-thinking strategies. With a team of over 2,000 professionals, Hytech serves a diverse portfolio of clients, including the world's second-largest CFD trading platform and several leading cryptocurrency exchanges. Our global presence spans across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, and more. Responsibilities - Own the data-warehouse architecture and ELT pipelines for credit & risk; build a layered model (ODS / DWD / DWS / ADS) on Databricks Lakehouse + Alibaba Cloud DataWorks. - Lead subject-area modeling for customer, underwriting, disbursement, repayment, collection and anti-fraud; productize reusable metrics and customer profiles. - Drive the migration from classic batch warehousing to a lakehouse (Delta Lake / Iceberg) — unified streaming + batch writes, consistency, rollback and schema evolution. - Define and operate the bar for data quality, metadata, lineage, SLA and change-management; guard warehouse and pipeline reliability. - Partner deeply with risk modeling, product, finance and compliance to land a single source of truth and self-service consumption. - Lead and mentor a team of 3–5 engineers; own coding standards, review process and on-call rotation. Requirements - Bachelor's or above in CS / Software / Math / Statistics; - 3+ years building warehouses in banking, consumer credit, lending or payments. - Expert in Kimball dimensional modeling, SCD and metric-layer design. - Hands-on with Databricks (Delta Lake, Unity Catalog, Spark SQL / PySpark, DLT) and Alibaba Cloud DataWorks (MaxCompute, Hologres, Flink, DataHub). - Deep SQL & Spark tuning — partitioning, Z-Order, shuffle, broadcast, AQE. - Familiar with governance tooling (DataHub / Atlas / Data Map). - Strong cross-functional, upward-communication and written-spec skills. - Familiarity with AI frameworks and tools such as LangChain, LangGraph, Dify, n8n, and OpenClaw, with hands-on experience applying AI capabilities to solve problems in real-world projects.

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Technology
Singapore
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