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Data Modeler

10.00 to 0.00 Years   Mumbai City   14 Feb, 2023
IBM India Pvt Limited
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    IntroductionAt IBM, work is more than a job it s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world s most challenging problems If so, lets talk.Your Role and Responsibilities
    • Understand and translate business needs into logical and physical data models using best practices to ensure high data quality, reduced redundancy, and support long-term solutions.
    • Be responsible for the development of the conceptual, logical, and physical data models.
    • Providing expertise in data modeling tools and techniques for designing data models for applications and related systems.
    • Assure that the modelling complies with the data modelling standards (normalization, data validation)
    • Working closely with business stakeholders, as well as potential users of the information system to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.
    • Ensure compliance with technical processes and standards.
    • Identify, communicate, and mitigate Risks, Assumptions, Issues and Decisions throughout full lifecycle.
    • This role is based out of Mumbai
    Required Technical and Professional Expertise
    • A minimum of 10 years of experience related to Data Modeling.
    • Strong Data Modeling Skills in designing, creating and maintaining conceptual, logical, and physical data model.
    • Must have a strong understanding of Data modeling principles (3nf/dimensional), methods and techniques.
    • Good knowledge on data profiling, integrating, and modeling data from different source systems.
    • Should have hands-on experience in relational, dimensional, analytic data modelling using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols.
    • Should have strong knowledge in creating the data model for OLAP and OLTP systems.
    • Strong knowledge on Database Architecture, normalization concepts and NFR requirements
    • Good Hands-on expertise on any of the data modeling tools like Erwin, IBM InfoSphere, Toad, IDA, ER Studio, and the current tools for large data warehouses.
    • Experience with data warehouse, data lake, and enterprise big data platforms.
    • Experience working with extracting business rules to develop transformations, data lineage, metadata, data catalogue.
    • Familiarity with industry data models.
    • Ability to design a new model from scratch by utilizing best practices and design principals.
    • Must have knowledge of metadata management
    • Experience with data stewardship/quality assurance solution.
    • Experience working with validating legacy and developed data model outputs.
    • Strong experience in data analysis and architecture, ability to influence end-to-end design decisions based on data.
    • Hands-on experience in preparing data mapping documents from source to target and the data quality assessments for the source data.
    • Strong communication skills.
    Preferred Technical and Professional Expertise
    • Exposure to AWS, Azure, Google
    • Exposure to orchestration tool
    • Logical and physical data modeling on NoSQL databases
    • ETL knowledge background
    ,

Keyskills :
physical data modelingbig datadata modelsdata qualitydata mappingdata analysisdata modeling

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