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Dubai

    Housekeeping Coordinator - Dubai, United Arab Emirates - Four Seasons

    four seasons background
    Description
    Responsibilities:
    • Articulate business and data requirements from business analysts across the various functional and business areas and then design/manage enterprise big data architecture, data governance, and automated data
    • Hands-on technical big data architect with extensive experience in designing big data solutions using open source and cloud native
    • Technical line management of remote big data engineering team Responsible for engineering excellence, resource management, hiring, coaching engineers, and timely delivery of committed
    • Create and maintain big data architectural & design artefacts to ensure the up to date documentation for the relevant program and projects is readily available; ensuring knowledge is
    • Contribute to the evolution and planning of the enterprise architecture from data perspective by ensuring solutions are developed inline with
    • Collaborate with a wide range of stakeholders to identify and define customer needs
    • Involve in partner selection and partner resource selection to ensure that the right partner/resource are selected who would be assisting the company in development &
    • Be the voice of the customer in the context and value of the business requirements
    • Manage the Technical Product Backlog of epics and features and drive prioritization
    • Support data lake design, development, release schedule and maintain a development road map
    • Ability to clearly articulate pros and cons of various technologies and platforms and architectural options to be able to document use cases, solutions, and recommendations
    • Advocate and champion the DataOps within the business, will be responsible that the existing data lake solution running smoothly on data to day
    • Maintain your own personal skills and knowledge in the field of enterprise architecture and your functional domain specialization. Actively contributing to the definition of the overall standards for design, development/configuration (including tools) and related


    Requirements

    Skills:
    • Demonstrable experience owning and developing big data solutions, using Hadoop, Hive/Hbase, Spark, Databricks, ETL / ELT for 5+ years
    • 10+ years of Information Technology experience, preferably with Telecom / wireless service
    • Experience in designing data solution following Agile practices (SAFe methodology);
    • designing for testability, deployability and releaseability; rapid prototyping, data modeling, and decentralized
    • DataOps mindset: allowing the architecture of a system to evolve continuously over time,
    • while simultaneously supporting the needs of current users
    • Create and maintain Architectural Runway, and Non-Functional
    • Design for Continuous Delivery Pipeline (CI/CD data pipeline) and enables Built-in Quality & Security from the
    • To be able to demonstrate an understanding and ideally use of, at least one recognized architecture framework or standard TOGAF, Zachman Architecture Framework
    • The ability to apply data, research, and professional judgment and experience to ensure our products are making the biggest difference to consumers
    • Demonstrated ability to work collaboratively
    • Excellent written, verbal and social skills - You will be interacting with all types of people (user experience designers, developers, managers, marketers, )
    • Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision
    Technologies: .NET, AWS, Azure; Azure Synapse, Nifi, RDS, Apache Kafka, Azure Data bricks, Azure datalake storage, Power BI, Reporting Analytics, QlickView, SQL on-prem Datawarehouse; BSS, OSS & Enterprise Support Systems

    .NET, AWS, Azure; Azure Synapse, Nifi, RDS, Apache Kafka, Azure Data bricks, Azure datalake storage, Power BI, Reporting Analytics, QlickView, SQL on-prem Datawarehouse; BSS, OSS & Enterprise Support Systems


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