Our client, a tier one global banking company, is currently looking for a Data Engineer focused on designs, implements, and documents data architecture and data modeling solutions etc.
- Responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL)
- Analyze current business practices, processes and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics PaaS Services
- Expose data to end users using PowerBI, Azure API Apps or any other modern visualization platform or experience
- Implement business and IT data requirements through new data strategies and designs
- Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models
- Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC
Requirements:
- Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
- Experienced in Python or at least one programming language
- Good knowledge of metadata management, data modeling, and related tools
- Must experience relational, dimensional, and/or analytic experience
- Experience in machine learning is a plus
- Team management, communication, and presentation
- Good command of written and spoken English
Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.
