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    Enterprise Big Data Solutions Architect - Boston, United States - BrainWave Professionals

    BrainWave Professionals
    BrainWave Professionals Boston, United States

    1 month ago

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    Description
    For a prompt response connect with me on LinkedIn and share your resume on

    Experience in the Financial Services domain, specifically in FX Trading is strongly preferred


    Responsibilities:
    Deep expertise in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
    Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies
    Facilitate the establishment and execution of the roadmap and vision for information delivery and management; including the enterprise data warehouse, big data, BI & analytics, content management and data management
    Lead a team of business analysts, data architects and data engineers to architect and deliver the solutions that fulfill the Business information needs and align with the information vision and strategy
    Apply business strategy while driving technology strategy, balancing short term and long term needs to ensure that the architecture can scale and evolve accordingly
    Engage an end-to-end approach by connecting all the pieces of data and deliver a streamlined model
    Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming and real-time data pipelines
    Ability to produce client ready solution architecture, business understandable presentations and good communication skills to lead and run workshops


    Requirement:
    Minimum 15 years of progressive information management solutions and end-to-end development life-cycle support and SDLC processes
    Minimum eight years leading a team including business analysts, architects, engineers, quality assurance, and operations professionals

    Bachelor's degree in computer science or relevant field from an accredited college or university; Master's degree from an accredited college or university preferred.

    Established experience delivering information management solutions to large numbers of end users
    Experience in Financial Services domain, specifically in FX Trading is strongly preferred
    Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management.
    Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalization, and dimensional data modelling such as OLAP, or data vault
    Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenization techniques
    Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools
    An in depth understanding of

    Cloud solutions (AWS, Azure and/or Google Cloud

    Platform) and experienced in integrating into traditional hosting/delivery models

    Experience with two or more of the following areas including Oracle 11g, Oracle Exadata, traditional data marts, Hadoop, Databricks, Snowflake, Data Stage, ETL, Tableau, Qlikview, AI/ML techniques, Java, Impala, Hive etc.

    #J-18808-Ljbffr

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