
Python, Kafka
7 days ago
**Job Summary**
**Responsibilities**
- Implement and manage Kafka and Kafka Connect to facilitate seamless data integration and streaming.
- Write efficient and scalable Python code to support data processing and analytics tasks.
- Collaborate with cross-functional teams to gather requirements and design solutions that meet business needs.
- Ensure the reliability and performance of data streaming systems through continuous monitoring and optimization.
- Troubleshoot and resolve issues related to data streaming and processing in a timely manner.
- Provide technical guidance and mentorship to junior developers to foster their growth and development.
- Participate in code reviews to maintain code quality and ensure best practices are followed.
- Stay updated with the latest industry trends and technologies to continuously improve the data streaming infrastructure.
- Work closely with stakeholders in the Asset & Wealth Management domain to understand their requirements and deliver solutions that drive business value.
- Document technical designs processes and procedures to ensure knowledge sharing and maintain system integrity.
- Contribute to the overall architecture and design of the data streaming platform to ensure scalability and robustness.
**Qualifications**
- Must have strong experience in Spark Streaming for real-time data processing.
- Must have expertise in Kafka and Kafka Connect for data integration and streaming.
- Must be proficient in Python for data processing and analytics tasks.
- Must have experience in the Asset & Wealth Management domain to understand business requirements.
- Nice to have experience with cloud platforms such as AWS or Azure.
- Nice to have experience with containerization technologies like Docker and Kubernetes.
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