Solution Analyst
2 weeks ago
Work with business and IT groups to analyse, design and implement data and information solutions that are consistent with enterprise architectural standards.
- Ensure solution designs address performance requirements and reusability, availability or recovery, integrity and security challenges, as well as business functional requirements
- Participate in the E2E lifecycle of a project and guide the teams as required
- Operate the big data platform and continuously seeking opportunities to improve the data usability and quality
- Ensure appropriate governance exists ensuring that appropriate regulatory, compliance, security and architecture controls are effectively maintained.
Perform research and feasibility studies to identify and evaluate data tooling/solutions for the business.
Additional Experience:
**Business**
Have a high level business understanding of, and the implications of Data adoption for:
- Digital Wallets & payment solutions
- Retail Banking & Wealth Management
- Commercial Banking
Able to translate business needs into appropriate IT Data solutions.
**Technical**
Have a system engineering background and the ability to compare and contrast different solutions to meet a business requirement. Strong analytical and troubleshooting skills - desire to solve complex problems at scale. Possess in-depth knowledge on the following area:
- Cloud Data Solutions (Azure / AWS)
- Machine Learning and AI
Data Integration (Batch & Streaming)
- SQL & Python programming languages
- Knowledge of algorithms and data structures
Have conceptual functional and non-functional knowledge of:
- Apache Spark
- Databricks (preferred)
- Data Visualization Systems (Tableau)
- Re-usable and repeatable data pipelines, ETL, complex job orchestration - Azure Data Factory, Air Flow etc.
- Machine Learning, MLOps, open source machine learning lifecycle management (MLFlow, Seldon Core, Kubeflow)
- Recommender systems
- Database systems (SQL and NoSQL)
Additional Key skills:
- A track record of delivering and operating big data & AI platform
- Ability to gather business requirements, perform analysis and establish or recommend a data integration architecture.
- Superior in relationship management, consultative, presentation, and communications skills
- Experience of working in a large team of staff dealing with local or overseas parties and offshore development resource would be ideal. Willing to travel overseas occasionally if required.
- Fluent in written and spoken English, with strong interpersonal and effective communication skills to deal with people of different levels, functions and geographic locations.
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