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    Platform Engineer - New York, United States - ICTerGezocht

    ICTerGezocht
    ICTerGezocht New York, United States

    2 weeks ago

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    Description
    Heel relevant

    Vacature in het kort Dive into the world of Azure Data Platform Engineering and become a key player in evolving our platforms.

    You'll have the chance to build and manage components that empower users to create scalable, automated pipelines. Your innovative approaches will enhance our data platforms' performance, earning accolades from our DevOps teams.

    Enjoy working in an environment that values smart individuals eager to learn and improve, not just in technology but also in personal interactions.

    Continue on to see how this opportunity can transform your career. Volledige vacaturetekst

    Combine the complexity of Data, Containerization, Cloud & Infrastructure

    De functie
    As a Azure Data Platform Engineer you are one of our valued team members. With your work, the platforms will further evolve. You build and run components of the platform that enable the users to develop scalable and automated pipelines.

    You are the one that is always finding new and innovative ways to improve the performance and capabilities of our data platforms.

    Our DevOps teams are praising you for delivering a reliable and stable platform.
    We are looking for smart people with potential and the following background:
    Bachelor's/Master's Degree in Software Engineering / Computer Science or equivalent;
    Experience and knowledge of Azure (specifically Data PaaS services and Network configuration);
    Experience with implementing the following platform technologies preferred (HDInsight/Databricks, Synapse/PostgreSQL, ADF/Airflow, Blob Storage, AKS, Azure DevOPs, etc.)
    Good understanding of databases including RDBMS, non-SQL and time-series databases;
    Solid understanding of DevOps practices including Git, CI/CD, monitoring;
    Strong knowledge of data structures, algorithms and problem-solving skills;
    Programming skills in Python.
    You have a learning attitude. Not only to master new technologies and programming languages, but also on the interpersonal level.
    Fluent in written and spoken English (Dutch is not required);
    Only Onshore position in the Netherlands.

    Gevraagd

    Azure data infrastuctuur
    Platform engineer Infra & Networking(specifically Data PaaS services and Network configuration)

    must:
    HDinsight, databricks

    Platform experience
    Preference Python

    Certificering:
    Azure fundamentals & Azure admin

    Must:
    similar role for automated platforms
    Team 7-8 professionals

    Aanbod

    You will be employed by YER and seconded to KPN


    We offer:
    Good employee benefits
    Challenging assignments
    Excellent guidance from your consultant and YER's back office
    Development opportunities, including the YER Talent Development Programme with a personal coach
    Intensive support for international candidates (including Dutch lessons, tax-return and accommodation assistance)
    Cooperative and results and relationship-driven
    Friendly atmosphere and open culture
    Community/network with other technology professionals from a variety of multinationals
    Events and master classes with interesting speakers and attractive companies


    Bedrijfsomschrijving Profile Azure Data Platforms EngineerAs Azure Data Platform Engineer you are responsible for designing and implementing the technical architecture of the KPN Data platform.

    You will work closely with our software engineers to ensure that the platform meets KPNs needs while adhering to best practices in scalability, reliability, fault tolerance and security.

    As part of the Data Office, you will work within the Data Platforms department together with 30 colleague's on the future of data platforms within KPN.

    Besides the daily work we lunch and have drinks together when we are in the office.
    You will contribute in designing, building and maintaining our Data Platforms. Enabling the organization to ingest, transform and share data in a fully automated, efficient and secure manner.

    #J-18808-Ljbffr
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