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Data Manager - Banking

Location
Hong Kong
Job Type
Permanent
Posted
8 Sep 2022

Responsibilities:

  • 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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