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    Job · 19246433

    GURUGRAM · FULLTIME

    Jr. Data Engineer

    Galytix Analytics logo

    Galytix Analytics

    Gurugram · onsite · Posted 26d ago

    Sourced fromNaukri
    Undisclosed1–2 yrsfulltimeGurugram

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Business overview:
    Galytix (GX) is delivering Agentic AI for financial services.
    Founded in 2015 by credit and insurance experts together with world-class AI engineers, GX financial services specialised AI Agents empower credit and risk professionals with a trusted and personalised agent delivering a step change in productivity and decision-making.
    Built for Financial Institutions. With Financial Institutions.
    GX Agentic AI technology, built in partnership with global FIs, implements a multi-model approach, combining industry-specific data and domain knowledge with human in the loop oversight, delivering trustworthy outcomes.
    Our Specialised AI Agents deliver 30 hours work in 30 minutes.
    GX AI Agents are already helping banks and insurers gain new insights into their customers, reduce costs, automate workflows, and transform teams day-to-day work experience.
    Role overview:
    • Helping to architect, design, implement, and optimise our data ingestion, transformation, and spreading pipelines and processes.
    • Developing data models, processing pipelines, and back-end services supporting the data science teams, automating processes, building integrations and building analytics.
    Desired skills:
    • A university degree in Mathematics, Computer Science, Engineering or similar.
    • 1-2 years of relevant experience in Data Engineering, ETL and Automation.
    • Ability to write clean, scalable, maintainable code in Python.
    • Experience in building scalable data pipelines for highly Structured / Unstructured data.
    • Adaptable and effective in fast-paced, constantly evolving environments with changing priorities.
    • Experience in working in a cross-functional team.
    • Strong problem-solving, analytical, and quantitative skills.
    • A professional attitude and service orientation with the ability to work with our international teams.
    • Excellent written and verbal command of English.
    Preferred skill:
    • Proven record of building data science environments deploying ML solutions in at least one of the big 3 cloud ML stacks (Azure/AWS/GCP) and on Kubernetes clusters.
    Why you don t want to miss this career opportunity:
    • We are a mission-driven firm that is revolutionising the Insurance and Banking industry.
    • We are not aiming to incrementally push the current boundaries, we redefine them.
    • Customer centric organisation with innovation at the core of everything we do.
    • Capitalise on an unparalleled career progression opportunity.
    • Work closely with senior leaders who have individually served several CEOs in Fortune 100 companies globally.
    • Develop highly valued skills and build connections in the industry by working with top-tier Insurance and Banking clients on their mission-critical problems and deploying solutions integrated into their day-to-day workflows and processes.
    • At Galytix, were experiencing rapid growth - especially in India, where we are building the largest tech team and are rapidly expanding our footprint. We re at a turning point, where we re transitioning to becoming a global leader in AI. This is your chance to join a fast-paced, high-impact company at the heart of its growth, where you'll have a chance to directly shape its future.
    X


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    AutomationKubernetesData EngineerData ingestionCustomer Centricmathematicsgoogle cloud platformamazon web servicesAutomatingintegrationsAnalyticsdata modelsBankingData EngineeringcloudFinancial ServicesETLMicrosoft AzureData PipelineData ScienceArtificial IntelligenceMachine Learning

    Jr. Data Engineer · waiting for your command