Java Flink

Company:  Han IT Staffing
Location: Iselin
Closing Date: 04/08/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Java Flink Developer

Basking Ridge, NJ (Onsite)

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/Client - 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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