Ropa Engineer - Phoenix, United States - TechOne

    TechOne
    TechOne Phoenix, United States

    Found in: Lensa US 4 C2 - 1 week ago

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    Description

    Job Description:
    The role of RoPA Engineer requires a comprehensive understanding of data management and data engineering principles and concepts.

    The ideal candidate possesses proficiency in Java/Springboot and is well-versed in Big Data technologies along with NoSQL databases such as Redis or Couchbase for efficient data processing.


    Responsibilities:
    Designing, building, and maintaining large-scale data management systems.
    Implementing data retention concepts and ensuring technical solutions support data retention requirements.
    Collaborating with cross-functional teams to develop and optimize data processing workflows.
    Troubleshooting and resolving data-related issues promptly to ensure system reliability and performance.
    Staying updated with emerging technologies and industry best practices in data management and engineering.


    Requirements:
    Strong understanding of data management and data engineering principles.
    Proficiency in Java/Springboot for developing robust data processing applications.
    Familiarity with Big Data technologies and NoSQL databases (e.g., Redis, Couchbase).Experience in designing and implementing large-scale data management systems.
    Ability to analyze complex data requirements and develop scalable solutions.
    Excellent communication and collaboration skills for working effectively within a team environment.


    Preferred Qualifications:
    Experience with cloud-based data platforms such as AWS or Azure.
    Knowledge of data governance and compliance standards.
    Familiarity with containerization technologies such as Docker and Kubernetes.


    Conclusion:
    The RoPA Engineer plays a crucial role in designing and maintaining efficient data management systems.

    With expertise in data engineering and programming languages like Java, along with familiarity with Big Data technologies and NoSQL databases, they contribute to building scalable and reliable solutions for handling large volumes of data.

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