Data Manager - Banking
- Employer
- Chinasoft International Technology Service (Hong Kong) Limited
- Location
- Hong Kong, Hong Kong
- Salary
- Negotiable
- Closing date
- Sep 8, 2022
View more
- Job Function
- Other
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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Responsibilities:
Requirements:
- Be 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).
- Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
- Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
- Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
- Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
- Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
- Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
Requirements:
- 7+ years of relevant experience
- Experience in data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts
- Good knowledge of metadata management, data modeling, and related tools (Erwin or Visual Paradigm or others)
- Experience in relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocol
- Experience in team management, communication, presentation, resource planning and management
- Stakeholder management, especially impactful communication, influencing, and negotiation
- Strong analytical and facilitation skills to ensure business needs and effective solutions can be quickly and clearly defined
- Strong interpersonal skills with proven ability of organizational planning, resource mobilization and problem solving
- Knowledge on Data Management is an advantage
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