Data Analytics Engineer

7 days ago

Hong Kong, Central and Western District, Hong Kong SAR China Hong Kong Exchanges and Clearing Limited Full time
Job Title: AVP/Associate, Data Analytics Engineer, Chief Data Office About the Role: We are seeking a highly skilled Data Analytics Engineer to join our Chief Data Office team. As a key member of our Information Technology Division, you will be responsible for developing data analytics capabilities and enhancing our enterprise data platform. Key Responsibilities: * Work with cross-functional teams to deliver data engineering projects, from development to deployment and support, ensuring high availability and performance. * Design and implement scalable and secure data analytics solutions for data ingestion, data processing, data visualization, and analytics. * 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, and DevSecOps to enable effective data analytics, data management, and data governance. * Manage development pipelines 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 in large enterprises. AVP position requires 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. What We Offer: * Competitive salary and benefits package. * Opportunities for career growth and professional development. * Collaborative and dynamic work environment. * Recognition and rewards for outstanding performance. How to Apply: If you are a motivated and experienced Data Analytics Engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information].

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