SD Solutions is hiring a
Apache Flink Developer

Summary

The job is for an Apache Flink Developer at NDA, Data Processing Platform. The role involves developing real-time data pipelines with Apache Flink, collaborating on scalable solutions, contributing to the Flink open-source community, and ensuring high-performance data streaming.

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 i. s 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

Responsibilities

• 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