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Java Flink Developer

4 months ago

Basking Ridge, United States Tekskills Inc. Full time

Job Title: Java Flink Developer

Location: Basking Ridge, NJ (Onsite)

Duration: 12 Months


Description:

  • Java , Apache FLink
  • SpringBoot
  • Mongo DB
  • Postgres SQL
  • DRUID
  • Cassendra
  • As the Data Engineer, 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.