At Verint, we believe customer engagement is the core of every global brand. Our mission is to help organizations elevate Customer Experience (CX) and increase workforce productivity by delivering CX Automation. We hire innovators with the passion, creativity, and drive to answer constantly shifting market challenges and deliver impactful results for our customers. Our commitment to attracting and retaining a talented, diverse, and engaged team creates a collaborative environment that openly celebrates all cultures and affords personal and professional growth opportunities. Learn more at www.verint.com.
Overview of Job Function:
The Java Data Engineer will be a part of Verint’s Big Data team responsible for developing batch or event-driven data pipelines in the cloud (AWS) while improving the reliability, security, resilience, and performance of the Big Data pipeline. The Sr. Engineer will bring knowledge of software development using Java and Spark technologies and contribute to daily operations including CI/CD.
Principal Duties and Essential Responsibilities:
Work within Agile/Scrum team to design and implement data pipelines. Develop data processing using spark and contribute to integration as well as regression tests. Improve availability and reliability of data pipeline. Develop automatic detection and remediation to prevent outages. Develop build and deployment automation for microservices using CI/CDEssential Requirements:
Bachelor's degree in Computer Science, Engineering or related field 5+ years developing backend services with Java/Spark Experience in automating operational tasks through development and coding. Hands-on experience using Maven, Jenkins, Git, JUnit Knowledge of database technologiesPreferred Requirements:
Knowledge of spark (java, scala) Knowledge of Databrick Hands-on skills in Docker and Kubernetes Experience with cloud provider: AWS and/or Azure Familiarity with performance monitoring using Prometheus and Grafana Understanding of asynchronous programming using Java#LI-KD1