1. Flink Sr. Developer
Location: Bangalore(WFO)
Mandatory Skills & Exp -10+ Years : Must have Hands on Experience on FLINK, Kubernetes , Docker, Microservices, any one of Kafka/Pulsar, CI/CD and Java.
Job Responsibilities:
As the Data Engineer lead, 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:
Flink Sr. Developer, who has implemented and dealt with failure scenarios of
processing data through Flink.
Experience with Java, K8S, 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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•Hands on experience with Microsoft technology stack Microsoft .NET WCF, C#, http://asp.net/" target="_blank">ASP.NET, MVC, SQL Server, VSS / TFS, Entity Framework, Web Services, etc.
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