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    Data Architect - Bangalore/Hyderabad, India - Job Store Consulting

    job store consulting background
    permanent Technology / Internet
    Description

    Designation : Data Architect

    Exp : 12+ yrs

    Location : Bangalore / Hyderabad / Indore (Hybrid mode of work)

    Notice : Immediate-15 days

    Shift timings : 1 PM-10 PM / 2 PM-11 PM (IST)

    Key skills : Data Architecture, ADF, Azure Purview, Databricks, Azure Fabric Services, API, MySQL, Knowledge in Python, ETL and Data Modeling

    What you will do:

    • Design and develop data architecture for large enterprise application
    • Should be able to build and demonstrate quick POC
    • Review customer environment for master data processes and help with overall data solution & governance model
    • Work closely with team business and IT stakeholders to understand master data requirements and current constraints
    • Should be able to mentor technically to junior resources
    • Should be able to set industry standards with his own work.
    Who you are :
    • 12 to 15 years of experience as a Data Architect
    • Hands on experience in full life cycle Master Data Management
    • Hands of experience in ADF, Azure Purview, Databricks, Azure Fabric Services
    • Lead Data architecture roadmaps, defined business cases and implementations for clients
    • Experience in leading, evaluating and designing Data Architecture based on the overall Enterprise Data Strategy / Architecture
    • Review customer environment for master data processes and help with overall data governance model
    • Hands on experience in building cloud based later enterprise data warehouses.
    • Experience in leading, evaluating and designing Data Architecture based on the overall Enterprise Data Strategy / Architecture
    • Implementing best practices for data governance, data modeling, and data migrations
    • Should be a good team player
    Bonus points if you have :
    • Deep knowledge of Master Data Management (MDM) principles, processes, architectures, protocols, patterns, and technologies
    • Strong knowledge of ETL and Data Modeling
    • Deep knowledge of Master Data Management (MDM) principles, processes, architectures, protocols, patterns, and technologies
    )

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