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java flink developer

2 months ago

Basking Ridge, United States Acess Global Full time
Job DescriptionJob Description

Role: Java Flink Developer - R01538394

Location: Basking Ridge, NJ (Hybrid)

Primary Skills

AngularJS, CI/CD Pipeline, CSS3, Docker, Hibernate, HTML5, Java, Kafka, Kubernetes, MySQL, Oracle RDBMS, React JS, Spring Boot, Spring Core, JavaScript

Secondary Skills

Flink

Specialization

Java , Apache FLink SpringBoot, Mongo DB, Postgres SQL, DRUID, Cassendra,

Below is the job description for your reference:

You are expected to engineer, develop, support, and deliver real-time streaming applications that model real-world network entities, and have a good understanding of the Telecom Network KPIs to improve the customer experience through automation of operational network data. Real-time application development will include building stateful in-memory backends, real-time streaming APIs , leveraging real-time databases such as Apache Druid.

Architecting and creating the streaming data pipelines that will enrich the data and support the use cases for telecom networks.

Collaborating closely with multiple stakeholders, gathering requirements and seeking iterative feedback on recently delivered application features.

Participating in peer review sessions to provide teammates with code review as well as architectural and design feedback.

Composing detailed low-level design documentation, call flows, and architecture diagrams for the solutions you build.

Running to a crisis anytime the Operations team needs help.

Perform duties with minimum supervision and participate in cross-functional projects as scheduled.

Skills:

Experience with Java, K8S, Flink/Spark, Argo CD/Workflow, Prometheus, and Aether.

Familiarity with object-oriented design patterns.

Experience with Application Development DevOps Tools.

Experience with distributed cloud-native application design deployed on Kubernetes platforms.

Experience with PostGres, Druid, and Oracle databases.

Experience with Messaging Bus - Kafka/Pulsar

Experience with AI/ML - Kubeflow, JupyterHub

Experience with building real-time applications which leverage streaming data.

Experience with streaming message bus platforming, either Kafka or Pulsar.

Experience with Apache Spark applications and Hadoop platforms.

Strong problem-solving skills.

Strong written and oral communication skills.

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