jobs in IO Tech Solutions

全职 Data Architect – Capital Markets | Financial Services | Hong Kong 工作, 薪水 up to HKD 70,000, IO Tech Solutions Hong Kong 公司招聘中 - Ricebowl

Data Architect – Capital Markets | Financial Services | Hong Kong

IO Tech Solutions

全职

Hong Kong

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工作地点

  • Hong Kong Hong Kong

职位描述

岗位职责

We're looking for a hands-onData Engineer / Data Solution Architect to join a financial services project in Hong Kong.

The role is ideal for someone who enjoysbuilding data solutions and platforms , rather than focusing mainly on day-to-day operations or support.

What we're looking for:

  • University degree in information technology, computer engineering or related fields
  • At least 7 years of programming and data engineering experience within capital markets or FinTech, featuring deep domain knowledge of the front-to-back office trade lifecycle.
  • Advanced proficiency in Java and Python, alongside proven expertise in data modelling frameworks and technical writing.
  • Hands-on experience working on Oracle, Postgres, GaussDB, OceanBase, NoSQL, or Object-Oriented databases.
  • Proficiency working in public and private clouds.
  • Good communication skills to work with user community for analysis and reporting.
  • Candidates must be proficient in English, and Cantonese or Mandarin.

Job Responsibilities include:

  • Design scalable, real-time, and batch ETL pipelines using enterprise integration tools. Write optimized, production-grade applications in both
  • Java and Python.
  • Normalize and cleanse data from multiple sources, and build automation to enforce and verify the same.
  • Coordinate data movement and schema evolution across a diverse
  • matrix including Oracle, PostgreSQL, GaussDB, OceanBase, Object Oriented databases, and NoSQL systems.
  • Architect conceptual, logical, and physical data models tailored for transactional and analytical systems, maintaining meticulous schema
  • documentation.
  • Build resilient data solutions within secure cloud environments,
  • seamlessly parsing and structuring Distributed Ledger Technology (DLT) data.
  • Facilitate data working groups to foster cross departmental alignment. Proactively collect technical requirements from non-technical stakeholders, translate business needs into data schemas, and provide tier-3 technical
  • support for downstream analytics teams.
  • Implement data security, access controls, and data quality
  • monitoring frameworks.

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