Java Flink Developer (RARR Job 5930)
Job Skills
Job Description
We are looking for an experienced Java and Apache Flink Developer to design, develop, and maintain high-performance real-time data processing applications. The ideal candidate will have strong Java fundamentals, hands-on Flink experience, and a solid understanding of streaming, data pipelines, and scalable distributed systems.
Key Responsibilities
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Design, develop, and optimize real-time stream processing applications using Apache Flink
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Build and maintain scalable Java-based backend systems
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Develop data pipelines for event-driven and streaming architectures
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Integrate Flink applications with messaging systems and data sources
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Ensure high availability, fault tolerance, and performance of streaming jobs
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Collaborate with architects, data engineers, and product teams to understand requirements
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Participate in code reviews and ensure best coding practices
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Troubleshoot production issues related to streaming and data processing
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Support CI/CD pipelines and deployment of Flink applications
Mandatory Skills
Core Technologies
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Strong proficiency in Core Java (Collections, Multithreading, JVM concepts)
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Hands-on experience with Apache Flink (DataStream & Table API)
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Experience in distributed systems and stream processing concepts
Streaming & Messaging
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Experience with Kafka or similar messaging platforms
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Understanding of event-time processing, windowing, and state management
Data & Storage
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Strong SQL knowledge
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Experience working with relational and/or NoSQL databases
DevOps & Tools
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Experience with CI/CD pipelines (Jenkins/GitLab CI, etc.)
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Version control using Git / Bitbucket
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Build tools: Maven / Gradle
Development Practices
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Agile / Scrum methodology
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JIRA for issue tracking
Good to Have
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Experience with Apache Spark (Streaming)
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Knowledge of Kubernetes / Docker
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Exposure to cloud platforms (AWS / Azure / GCP)
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Knowledge of Unix/Linux environments
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Basic understanding of ETL and data warehousing concepts
Preferred Qualifications
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Strong analytical and problem-solving skills
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Experience working on large-scale, high-throughput data platforms
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Ability to work independently and within cross-functional teams
