Data Modeler

Department Icon Data Science Analytics & Machine Learning
Posted: 3 years ago
3-8 years
Bangalore Urban, Karnataka, India
Data Science Analytics & Machine Learning
Work From Office
Full Time

Posted: 3 years ago
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Job Description

Primary Skill Data Modeler, Banking domain exp is mandatory.

Secondary Skill Data Governance/ Data Lineage

  • 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).

    Extensive experience of working in Banking Data & Analytics solutions

  • 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.
  • Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
  • Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
  • Experience in team management, communication, and presentation.

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).

  • Extensive experience of working in Banking Data & Analytics solutions
  • 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.
  • Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
  • Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.

Experience in team management, communication, and presentation.

Skills

AnalyticsData GovernanceData ModelingData VisualizationPresentationTeam ManagementVisualization

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