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    Data Architect - London, United Kingdom - Gentrian

    Gentrian
    Gentrian London, United Kingdom

    1 week ago

    Default job background
    Description

    DATA ARCHITECTS (EMEA)- AEROSPACE AND DEFENSE:

    Bullisher is a data centric fintech Solution provider in the aerospace and defense industry for institutional level investors, looking to disrupt and revolutionise a $3 trillion dollar industry.

    We spearhead an industrial-leading Blackbox to facilitate and administer trade agreements pioneered by a vehicle, driven by our new generation benchmark delivering solutions through innovation with uncompromising agility.

    Predicts trends in the aerospace and government defense entities, predicts trends in political shifts and the ability to influence actual effect changes in government policies through innovation.

    The oversight places heavy emphasis upon innovation, architectural shift, built for a new era of data driven decisions, predictive modelling, modern data framework, so the data pipeline is use in collective efficient decisions making.

    A team of two, movingly to scale our platform the technology that powers BULLISHIER, growing data-maturity curve from BI REPORTING WITH MONOLITHIC SOFTWARE which leverage our existing infrastructure to collect enormous volumes of data, modernising our data platforms and removing bottlenecks to produce better outcomes for analytics and data pipeline workflows.

    Quantum cloud-native disaggregated architecture (Machine learning and deep learning algorithms, AI , modern analytics, streaming data pipelines).


    Areas where matters require attention:
    :
    (As applications are rearchitected or created from scratch) -This is not about performance/bytes per second/milliseconds per latency. Agility for the engineers- ultimately Building these data pipelines is a software engineering exercise. It matters how quickly you can iterate, improve, and deploy these data pipelines. Hybrid Multi-Architecture, object transformation, file-system and object storage, containers and Automation, disaggregation (separately manage infrastructure, applications and storage). BULLISHIER traditional analytics engine has a collective signatures of workloads powered by a machine learning base workloads, planning and optimization engine. Powered by a global networks of telemetry data , from the telemetry data we are able to proactively detect issues, model future applications performance and improvements. Ensure our processes adheres to standards for secure systems design in conformity to the NIST SP With applications running, transformation and applications on their own in multiple private data centres to deliver new levels of simplicity, and allows engineers and developers to do things they simply couldn't do before by building and supporting internal and external data pipelines for complex data-based systems to the vast ecosystem of data pipeline tools. The ability to move workloads back and forth, cost performance with simplicity factors appropriate for each application. In the data centre, we'll have heavy transformations and processing with the training and machine learning, in production Pipelines you'll deploy that tested code to the data centre.

    Areas to focus on Failure and recovery:

    As you Handle different types of failures, simpler software upgrades, node failures, data reconstruction, rebalancing data, recovery from nodes failures into greater protection, sequential software updates, rebalancing, data evacuation and rehydration cycle will undergo a formal approval, review and voted by representatives for Security impact analysis, THE C.P SOFTWARE ENGINEERING AND ADVANCED ANALYTICS, V.P DATA PROCESSING AND GOVERNANCE, GENERAL COUNSEL, EXECUTIVE DIRECTOR COMPLIANCE, PRIVACY AND DATA PROTECTION OFFICER, OPEN SOURCE LICENSING EXPERT, AND SENIOR NETWORK AND CYBERSECURITY INFRASTRUCTURE ENGINEERS.

    Simplify clusters provisioning and testing clusters, Data pipelines with multiple applications with various workloads types working together:
    We are a startup enhancing the FORMATION TO THE EARLY STAGES OF A PRODUCT DEVELOPMENT PROJECT.
    This position will operate in the following areas of the organization regulatory engineering division"MULTI-DOMAIN DEFENCE DOCK:
    MULTIDOMAIN DEFENCE DOCK" Standard engineering lab environment "
    10yrs + Solid experience in Data architecture and disaggregate modelling;
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