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DEP Data Modeler

8.00 to 12.00 Years   Delhi   05 Feb, 2020
Bechtel
Job LocationDelhi
EducationNot Mentioned
SalaryNot Disclosed
IndustryTelecom / ISP
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Basic SkillsQualifications

Master sBachelor s degree in Computer Science, Computer Engineering (BEMCABCA) 5-7 years of data modeling and database design experience

  • Strong communication skills
  • Agility and quick learner Understanding of Master Data Management Understanding of Data Architecture and Data Analysis Understanding of the software development lifecycle
  • Good Analytical and problem-solving skills
  • Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities
  • Should have a high level of energy working as an individual Contributor and as a part of Team.
  • Ability to think out of the box and questioning everything

    Technical Skills (Hands On)

    Apply data modeling expertise, to design, develop and implement conceptual models, logical models, physical models, based on business process requirements and industry standards, with the following experience: Databases Relational (Oracle, MySQL, SQL Server, etc.) Graph Databases Property Graph (Neo4j, CosmoDB, JanusGraph, etc.), Knowledge Graph (Jena, AllegroGraph, etc.) Query Languages (SQL, Cypher, Gremlin, SPARQL, etc.) Data Model tools (ERwin, SQL Developer, Prot g , etc.)

  • SQL Skills PLSQL, TSQL
  • Experience with scripting and programming languages Be responsible for the development of the conceptual, logical, and physical data models. Ensure that developed data models are pragmatic and represent business requirements accurately.
  • Be responsible for the development of data model that support data interoperability, data integration, master data management and enterprise repositories.
  • Contribute to the expansion of an existing data architecture. Design with operational requirements, and support challenges in perspective Drive technical excellence and implementation of best data modeling practices. Apply technical understanding of: Data modeling methodologies Data modeling standards Using architecture and information modeling tools Patterns and best-practices for the development of taxonomies Understanding of ontologies, semantic and canonical models Develop data models that represent business requirements that are optimized for implementation in enterprise solutions:
  • Work with business SMEs and applicationsolution teams to develop data strategies and architecture, implement repositories, data integrations and data interoperability flows.
  • Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
  • Collaborate with other data modelers, subject domain experts, and end-users, to build the right solutions that address our business needs.
  • Interface with Data Governance, Master Data Management and Software Quality Assurance and deployment teams. Participate in design, scoping, implementation, and testing in short agile release cycles
  • Ability to work in shifts
    • ,

    Keyskills :
    software development life cyclemaster data management software quality assurancestrong communication skills sql servermaster data

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