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Urgent! Senior Python Developer - Apache Flink Job Opening In India, India – Now Hiring SRM360 Consulting

Senior Python Developer Apache Flink



Job description

<p><p><b>Job Description :</b></p><p><b><br/></b></p><p><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Design, develop, and maintain large-scale, real-time data pipelines using Apache Flink, Apache Kafka, and Apache Spark.<br/><br/></p><p>- Implement robust, fault-tolerant, and scalable distributed systems to handle high-volume streaming and batch data workloads.<br/><br/></p><p>- Write clean, efficient, and production-ready Python code, including performance debugging and optimization.<br/><br/></p><p>- Collaborate with cross-functional teams including Data Scientists, Product Engineers, and DevOps to deliver end-to-end data solutions.<br/><br/></p><p>- Architect and implement event-driven systems and streaming data frameworks to support analytics, reporting, and real-time decision-making.<br/><br/></p><p>- Perform system monitoring, troubleshooting, and fine-tuning to ensure low-latency, high-throughput performance.<br/><br/></p><p>- Evaluate and integrate new open-source tools, frameworks, and best practices to improve system efficiency and scalability.<br/><br/></p><p>- Document system designs, processes, and implementation details to support long-term maintainability.<br/><br/></p><p>- Provide mentorship and technical guidance to junior engineers, ensuring adherence to coding standards and best Skills :</b></p><p><b><br/></b></p>- Python : Advanced programming and debugging skills.<br/><br/></p><p>- Apache Flink : In-depth, hands-on implementation experience (Mandatory).<br/><br/></p><p>- Apache Kafka : Strong understanding and proven experience in distributed messaging systems (Mandatory).<br/><br/></p><p>- Apache Spark : Good working knowledge and experience in developing data pipelines.<br/><br/></p><p>- Distributed Systems : Hands-on experience building and managing scalable, multi-node distributed systems using open-source Skills :</b></p><p><b><br/></b></p>- Apache Ignite : Prior exposure or hands-on experience will be considered a strong plus.<br/><br/></p><p>- Knowledge of Kubernetes/Docker for deploying distributed applications.<br/><br/></p><p>- Familiarity with cloud environments (AWS, GCP, or Azure) for building and scaling big data Should Be :</b></p><p><b><br/></b></p>- Proficient in building robust, real-time data pipelines and event-driven architectures.<br/><br/></p><p>- Comfortable working with high-performance, scalable, and low-latency systems.<br/><br/></p><p>- Capable of troubleshooting, profiling, and optimizing distributed applications effectively.<br/><br/></p><p>- A strong communicator, able to explain complex technical concepts to both technical and non-technical stakeholders.<br/><br/></p><p>- Self-motivated and capable of working independently in a remote setup while contributing to a collaborative team :</b></p><p><b><br/></b></p>- Bachelors or Masters degree in Computer Science, Data Engineering, or related technical discipline.<br/><br/></p><p>- 8- 12 years of experience in data engineering, with at least 2- 3 years in building real-time streaming </p><p>systems.</p><p><br/>- Proven experience with distributed systems in production environments</p><br/></p> (ref:hirist.tech)


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