Data Analytics Engineering Leader for Enterprise Data Platform

5 days ago

Hong Kong, Central and Western District, Hong Kong SAR China Hong Kong Exchanges and Clearing Limited Full time
Company Overview
Hong Kong Exchanges and Clearing Limited is a purpose-driven company, connecting capital, ideas, inspiration, and innovation for deeper, more diverse, and liquid global capital markets.

We strive to provide greater choice and opportunity for our customers every day. Our commitment to the long-term development of our business and markets is articulated in our purpose: "To Connect, Promote, and Progress our Markets and the Communities they support for the prosperity of all."

Job Description
The successful candidate will join our team as a Data Analytics Engineer, Chief Data Office of the Information Technology Division. This role is critical in developing data analytics capabilities and enhancing our enterprise data platform.

This individual will be responsible for executing and delivering data analytics engineering projects to incrementally build out our enterprise data platform. Key duties will focus on applying engineering skills for end-to-end data analytics technology capabilities from data ingestion, data modeling, data governance, data visualization, and analytics solutions implementation.

The role requires a strong technical background in cloud experiences and data domain technologies, as well as excellent problem-solving skills to ensure solutions are scalable, secure, and efficient.

Key Responsibilities:
  • Work with cross-functional teams to deliver data engineering projects, from development, deployment through to support in ensuring high availability and performance.
  • Design and implement scalable and secure data analytics solutions for data ingestion, data processing, data visualization, etc.
  • Collaborate with stakeholders to deliver data platform capabilities, prioritizing requirements based on business benefits and protection against data risks.
  • Promote compliant and quality reuse of data on the enterprise platform, through incremental delivering functionalities in the data lifecycle, including data access control, data lineage, data modeling, data quality, and data analytics.
  • Apply native cloud skills like containerization, object storage, etc., to enable effective data analytics, data management, and data governance.
  • Manage development pipeline through DevSecOps, CICD tooling, and Infrastructure as Code.
  • Effectively use hybrid project management techniques, applying agile tools within SDLC phases.
  • Coordinate other IT functions in the efficient use of technical tools, internal resources, and skills, optimizing technical synergies and efficiency across initiatives.
  • Manage third-party data products and vendors for deployment onto the data platform.

Requirements
  • Bachelor's degree in computer science, technology, data, or related disciplines.
  • 5 years of working experience in systems development, preferably having a track record in large enterprises. AVP position will require stronger technology and management experiences.
  • Well-versed with SDLC project disciplines and experienced in Agile methodologies in cross-functional teams.
  • Good understanding of enterprise data architecture and technology stack, covering batch processing and streaming data for analytics usage.
  • Familiar with cloud technology and operations in AWS, Azure, or China clouds and data processing in a cloud environment.
  • Solid technical background with hands-on experience in software development and data-related technologies.
  • Proficiency in programming languages such as Python, Java, C++, or Scala.
  • Hands-on experience with big data technologies and ecosystems, including Hadoop, Spark, and Kafka.
  • Knowledge of database systems, both relational and NoSQL.
  • Familiar with big data technologies, e.g., Redshift, HDFS, HBase, Hive, etc.
  • Experience in data security and data management tools, e.g., LDAP, OAuth, Keycloak, Lake Formation, etc.
  • Experienced in DevSecOps tooling, CI/CD pipeline, Terraform, etc.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.

Estimated Salary Range
$120,000 - $180,000 per annum, depending on experience.

Location
HKEX - Exchange Square

Shift
Standard - 40 Hours (Hong Kong SAR)

Scheduled Weekly Hours
40

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