Apache Flink Developer

August 23

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Create exceptional products with passionate people

Technical Support • Business Process Outsourcing • Techninal Support Services • Quality Testing • Dedicated Team Outsourcing

201 - 500

Description

• Investigate the Flink core project for the Datorios’ product needs • Adapt the Datorios ecosystem to be aligned with the Flink roadmap. • Design, develop, and maintain Apache Flink-based data processing pipelines tailored to business needs. • Collaborate with remote teams to gather requirements, design solutions, and deliver robust streaming applications. • Actively participate in the Apache Flink open-source project by developing new features, fixing bugs, and contributing to the community. • Engage with the Flink community, attend virtual meetups, and stay updated on the latest advancements. • Propose and implement enhancements to improve the efficiency and scalability of Flink-based applications. • Optimize Flink jobs for performance, ensuring low-latency processing and high availability in a distributed environment. • Monitor and troubleshoot issues, providing quick resolutions to maintain system reliability. • Work closely with the DevOps team to ensure smooth deployment and operation of Flink applications. • Create and maintain comprehensive documentation for Flink applications and best practices. • Provide technical support and mentorship to other team members working on Flink-based solutions. • Contribute to knowledge-sharing sessions and internal training programs.

Requirements

• Minimum of 3 years of software development experience, focusing on real-time data processing and analytics. (with Flink 3 years) • Previous contributions to the Apache Flink project or other open-source projects are highly desirable. • Experience with containerization (Docker) and orchestration tools (Kubernetes) is preferred. • Deep knowledge with the Flink project and roadmap • Proven experience with Apache Flink, including development, deployment, and optimization in production environments. • Strong programming skills in Java; proficiency in Python is a plus. • Deep understanding of real-time data processing concepts, stream processing, and distributed systems. • Experience with integrating Flink with Apache Kafka, Hadoop, and cloud platforms (AWS, GCP, Azure) • Strong problem-solving skills and ability to work independently in a remote environment. • Excellent communication skills, with the ability to collaborate effectively with a distributed team. • A proactive approach to learning and staying current with new technologies and industry trends.

Benefits

• Contact us to get more details about the benefits we offer.