Tech
Senior Data Engineer
Position Accountabilities:
Process
To build enterprise Big Data Analytic and AI blueprint and collaborate with business users across the organization to assess their needs and define analytical strategy to support Data Processing for core banking data to support Digital Transformation. automating and productizing advanced big data transformation and analytics pipelines.
To assist the evaluation, selection and implementation of tools for data integration and analytics
To develop Cloud Data Lake, Data Modeling and build Extract-Transform-Load (ETL) processes
To build Real Time integration capabilities from data source and analytic platform to customer touchpoints
To build Data Governance capabilities and work with Data Scientist and Data Analyst
To collaborate with a broad spectrum of stakeholders, including data scientists, marketers, finance, technical expertise
People
To plan and monitor the work of Senior Analyst/Programmer, Analyst/Programmer and Programmer
Compliance & Risk Management
Comply with all applicable regulations, rules, codes, guidelines and standards set by regulators and the Bank, and carry out duties with high integrity; and
Adhere to all established risk control guidelines, procedures and measures to identify, assess, report, mitigate and monitor the risks involved in the day-to-day work
Other
To perform any other duties as directed by supervisor
Competence Requirements:
Academic Qualifications / Professional Qualifications / Relevant Experience Requirements / Job Knowledge
University graduate in Computer Science or equivalent; OR
Preferable over 6 years’ experience in system development covering the following:
• Degree Holder Computer Science, Information System, Statistics, Mathematics, or related disciplines
• 3 years+ solid hands-on experience in Data Management and Analytics.
• Proficient in Python, Spark, ETL tools (e.g. IBM DataStage, Informatica, etc.) appropriate for large scale data processing, SQL development, OR
• Experience in below will be desirable:
- Experience in Big data, Cloud technologies and DaaS is an advantage
- Experience in AirFlow and DBT
- Good knowledge in RDBMS, NoSQL is a plus
- Interface with Machine Learning System for Digital Marketing integration
- Strong leadership, embracing changes, fast learners with ability to work in a collaborative environment
- Effective communication is a must to work with Data Scientists and Business Users
- Strong oral and written presentation in English and Chinese. Mandarin is a plus
- Experience in conducting Business and System Analysis with strong business acumen
- Working knowledge in financial sector is an advantage
- Candidates with less qualification and experience will be considered as Data Engineer
- Good communication and interpersonal skills.
