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    Associate Consultant - Bengaluru, India - AXA

    AXA
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    Description

    About AXAAs one of the largest global insurers, our purpose is to act for human progress by protecting what matters .Protection has always been at the core of our business, helping individuals, businesses and societies to thrive.

    And AXA has always been a leader, an innovator, an entrepreneurial company, fostering progress in all its dimensions. Our purpose also links back to the Group's roots. From the outset, AXA has been committed to acting as a force for collective good.

    From solidarity-based actions with AXA Hearts In Action to work on prevention issues with the AXA Research Fund and the fight against climate change, AXA has always been attentive to its social environment and embraced its responsibility as an insurer: responsibility for taking action upstream in order to better understand risks, with one goal in mind: to ensure better protection.

    Our values

    reflect the culture that the Group's teams around the world live and express each day.

    The strength of AXA's company culture and its outstanding managerial continuity over more than 40 years can also be seen in the proximity of its values across the various periods.

    Courage, Integrity, One AXA and Customer First

    are the four core values adopted by the Group since 2016.

    Our Vision

    is to transform AXA's value proposition

    "from payer to partner" , by delivering new services complementing the traditional insurance coverage and by building new business models to increase the protection of our customers.

    Key accountabilities:
    As a Data Engineer you will be accountable for:operational needs by collaborating with specialized teamskey AXA business operations.

    This involves architecture designing, building and deploying data systems, pipelines etcagile, scalable, and cost efficiency solution on cloud data services.


    Technical and professional skills:
    are looking for a flexible, fast learning, technically strong Data Engineer.

    Expertise is required in the following fields:
    in Cloud Services –AzureETL and data movement from traditional database systems to Cloud environment.

    Experience in Data Ingestion using Azure data factoryhands-on experience for working with Streaming datasetComplex Notebook in Databricks to achieve business Transformations.

    Experience in Data Refinement using Pyspark and Spark SQLwith building dataset using tools such as Jira and GitHubleading agile scrum, sprint planning.


    Background and experience:
    degree in computer science or related field4-6 Years of experience in Cloud Data Engineering


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