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Big Data Solution Architect

  • Warszawa, Wrocław, dolnośląskie
  • Specjalista
  • 20.07.2018

    Pracodawca ma prawo zakończyć rekrutację we wcześniejszym terminie.

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    Big Data Solution Architect
    Workplace: Warszawa, Wrocław
    Ref no: POL000N3
    Advisory, Big Data Solution Architect

    EY Global Delivery Services means 26,000 specialists providing globally IT, HR, finance, project management and strategic business services to EY member firms.

    In addition we deliver support and solutions to external clients from all over the world.
    Right now, we are looking for a Big Data Solution Architect to join our EY GDS Advisory team focused on providing cutting – edge IT solutions dedicated to the biggest market players in EMEA region.
     
    Solution Architect is a great opportunity to build data and software architectures and collaborate closely with our clients around the globe. This is a chance to create new solutions and environments in the space of Data & Analytics. As it is a challenging role, we are looking for specialist who will join our international team able to face new challenges.
     
    The opportunity

    As a Big Data Solution Architect in EY GDS Poland you will be working with clients presenting them the best solutions for their requirements. Those are based on Hadoop and NoSQL databases, stream processing and real time analytics tools hosted on premise or in the client’s favourite cloud environments. You will review and audit of existing solution, design new system architectures as well as develop roadmaps and implementation strategies to facilitate data and analytics activities and data science initiatives including recommendation engines, predictive modelling and machine learning. You will have the opportunity to be part of international projects dedicated to advise key clients around the globe.
     
    Your key responsibilities

    You will be responsible for creating and developing data and software architectures satisfying customer needs and advise customers about how to shape and implement their data strategy.
    Skills and attributes for success
    • Presenting great knowledge in terms of big data technology and processes
    • Being a team player sharing knowledge and experience with others
    • Acting as a professional on a daily basis - to make a better working world for you and others
     
    To qualify for the role you ideally have
    • Multiple years of proven experience with big data technologies and frameworks (i.e. Hadoop toolset including but not limited to, Pig, Hive, Spark, Oozie, HBase, Cassandra, Atlas and NoSQL environments like MongoDB)
    • Experience with big data solutions based on cloud infrastructure such as MS Azure and Azure Stack, SAP Cloud Platform, Elastic MapReduce, Amazon Web Services, Pivotal Cloud Foundry
    • At least 5-8 years of strong experience in programming languages including Java, Python, R
    • At least 5-8 years of strong experience in SQL based relational databases and data warehousing
    • Good knowledge of data integration practices, processes, tools, data analysis and data discovery in Big Data and BI environments
    • Experience in delivering client-driven large-scale enterprise implementation projects
    • Deep understanding of agile development methodology
    • Very good communication skills in English. 
    Ideally, you’ll also have
    • Good command of  German and other European language
    • Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization)
    • Technical team leading and team management experience
    • Ability to work in multinational team and ability to travel in approximate amount of 20% per year.
     
    What we look for
    As we are a dynamic team of passionate architects and developers, and we work in international teams all over the world. Facing with customers, we are “thinking-out-of-the-box" professionals.  Our top performers have a team player acumen and they cope with challenges on the daily basis. If it all sounds familiar to you - we are looking forward to seeing you on board.
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