Unknown Company

Data Modeler MAHIN-JOB-31428

durham, nc • Posted 1 weeks ago
Onsite Full Time General

Data ModelerAnalyzing and translating business needs into long-term solution data models.Evaluating existing data systems.Working with the development team to create conceptual data models and data flows.Developing best practices for data coding to ensure consistency within the system.Reviewing modifications of existing systems for cross-compatibility.Experience in Azure cloud environmentDefining databases and the physical, logical and conceptual levels involvedKafka Expert with Big Data BackgroundRequired skills:A bachelor's or master's degree in relevant Business/IT studies with at least 5 years of experience in a similar roleYou are experienced with Kafka publish-subscribe principlesExperience in Internet-of-things integration scenariosUnderstanding of event-driven microserviceAt least 3 years of experience in the field of Kafka Data StreamingExperience with Kafka connectors on different hyperscaler and integration scenariosTransformation tools like KSQL StreamsExperience in Cloud Big Data technologies and architectures within AZURE, Google Cloud or AWS.Experienced in Java, Scala, Python, MySQLBusiness Consulting and Technical Consulting skillsAn entrepreneurial spirit and the ability to foster a positive and energized cultureA growth mindset with a curiosity to learn and improve.Team player with strong interpersonal, written and verbal communication skills.You can demonstrate fluent communication skills in English and Mandarin (spoken and written)Roles & Responsibilities:Managing Kafka real-time data streaming scenarios in a productive environmentWorking with Confluent Kafka Control centerSupporting Kafka components like Broker, Zookeeper, Schema registryBuilding complex Kafka KSQL StreamsSetup of Kafka scenarios on different hyperscalerDesign and build Data Flows using different Kafka connectorsDevelop and optimize Data Models and pipelines for performance and scalability, reusable and listing in libraries for the futureSupport industrialization of streaming solutionsEnable meaningful and insightful reports for Data Analysis and MonitoringEnsure systematic quality assurance for the validation of accurate Data ProcessingBuilding reusable code and libraries for future useOptimization of applications for maximum speed and scalabilityImplementation of security and data protectionTranslation of stakeholder requirements into concrete specifications for Kafka and self-service solutionsWork diligently towards better relationship with the customerAbility to create instructions /operations manual and staying on the job until it is finishedWillingness to be accountable, courtesy, reliability, flexibility, cooperation and adaptability.Take initiative, ability to take responsibility

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