Flink with Datastreams API

Requirements for Resource: Proficient in writing and supporting both functional and non-functional aspects of Flink with DataStreams API. Flink Functional Requirements: Expertise in Flink APIs (DataStream, Process functions, etc.). Competence in state management (checkpoints and savepoints) with local storage. Configuration of connectors like EventHub, Kafka, and MongoDB. Implementation of Flink API Aggregators. Handling watermarks for out-of-order events. Management of state using Azure Data Lake Storage (ADLS). Flink Non-Functional Requirements: Set up a private Flink cluster within a designated AKS environment. Configure both session-based and application-type deployments. Define and build nodes and slots. Manage and configure Job/Task Managers. Establish necessary connectors, e.g., external storage for the Flink Cluster. Configure heap memory and RocksDB for state management. Define and set up checkpoints and savepoints for state recovery. Enable Auto-Pilot capabilities. Integrate network resources, such as Azure EventHub and external databases like MongoDB. Implement integration with ArgoCD for job submissions. Install LTM agents for logging and Dynatrace agents for monitoring purposes. Provide access to the Flink Dashboard. Establish High Availability (HA) and Disaster Recovery (DR) configurations. Here is the exp level. 10 years of hands-on design and java coding experience in back-end system development. 5 years hands-on experience with Kafka, Flink, Cloud, Unit/Functional/Integration testing, SQL or kSQL, Java, Github Actions, Dynatrace, Code scanner, and MongoDB. Additional details : Delivery of a fully configured Confluent Cloud infrastructure with FLINK integration and automated CI/CD pipeline to deploy in all environments (Test, Stage, Prod). Required Skills : Java Basic Qualification : Additional Skills : This is a high PRIORITY requisition. This is a PROACTIVE requisition Background Check : No Drug Screen : No

Created: 2026-03-04