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    Full Stack Cloud Developer - Noida, India - BARCO

    BARCO
    BARCO Noida, India

    2 days ago

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    Description

    Key Responsibilities :

    • Develop endtoend business applications in Azure, covering frontend and backend development.
    • Design, develop, and manage data pipelines in Azure, following the Medallion architecture, to facilitate data ingestion, processing, and storage for AI/ML model , data analytics.
    • Collaborate with stakeholders to understand application requirements and ensure seamless user experiences.
    • Design and implement scalable, responsive, and userfriendly interfaces and features.
    • Create and maintain database structures and optimize data access and storage.
    • Work on full stack development tasks, ranging from UI/UX design to serverside development.
    • Design, develop, and manage data pipelines in Azure, following best practices.
    • Collect, preprocess, and transform data for machine learning and analytics tasks.
    • Collaborate with other engineers to ensure data quality and reliability.
    • Deploy and integrate AI/ML models into business applications for enhanced functionality.
    • Monitor and maintain data pipelines to ensure data excellence.

    Skills and Qualifications :

    • B.E/B.Tech or M.Tech/ MCA degree in computer science
    • Proven experience in fullstack development, including frontend and backend development in Azure.
    • 38 years of programming experience
    • Proficiency in web development technologies, such as HTML, CSS, JavaScript, and modern frontend frameworks.
    • Strong database design and management skills.
    • Knowledge of backend technologies, including serverside scripting, API development, and cloud services in Azure.
    • Experience in creating responsive and userfriendly applications.
    • Data engineering skills, including data collection, preprocessing, ETL, and data transformation.
    • Proficiency with Azure services, such as Azure Data Factory, Databricks, and Azure Machine Learning.
    • Experience with Delta Lake for data management, data cleansing, data transformation, and ETL processes.
    )
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