We are seeking a Senior Java Developer with a strong understanding of Apache Flink to design, develop, and maintain real-time data processing applications using Flink's APIs (DataStream, Table, SQL) to handle high-volume data streams efficiently; requiring experience with data ingestion, transformation, aggregation, and analysis within a distributed environment, often collaborating with other teams to integrate with existing systems and deliver business solutions.
Responsibilities:

• Design, implement, and maintain real-time data pipelines using Apache Flink's DataStream and Table APIs to process large volumes of streaming data.
• Write Flink queries to perform complex data transformations, aggregations, and calculations on streaming data.
• Monitor and optimize Flink applications for scalability, throughput, and latency.
• Integrate Flink applications with other data sources (e.g., Kafka, databases) and downstream systems.
• Implement robust monitoring mechanisms to identify and resolve issues in Flink applications

• Expertise in core Java concepts, design patterns, and best practices.
• Hands-on experience with Flink's DataStream API, Table API, and SQL API.
• Understanding of stream processing principles, including event-time, windowing, and backpressure management.
• Familiarity with data ingestion techniques, data warehousing concepts, and data pipelines.
• Awareness of distributed system concepts like fault tolerance, scalability, and cluster management.

• Cloud platforms: Experience with cloud environment in AWS for deploying Flink applications.
• Knowledge of Apache Kafka for real-time data ingestion and streaming
• Familiarity with other big data tools like Spark, Hadoop, or Hive

Send your CV’s to [email protected]