Lead Developer- Flink
2 weeks ago
JD:
We are looking for Data Engineers with experience of developing large scale stream processing jobs at scale.
Technologies and Tools used:
- Java/Python
- Flink
- Cassandra/MemSql/others
- Openshift / K8s
- Kafka
Responsibilities:
• Create new, and maintain existing, Flink jobs written in Java/Python, deploy on OpenShift
• . Produce unit and system tests for all code
• Participate in design discussions to improve our existing frameworks
• Define scalable calculation logic for interactive and batch use cases
• Interact with infrastructure and data teams to produce complex analysis across data
• Required Qualifications: A minimum of 3 years of experience developing stream processing systems. A minimum of 7 years of programming experience
• Required experience with Flink real-time data streaming:
• Knowledge and experience with cloud-based technologies, preferably OpenShift
• Experience in Flink Kubernetes Operator
• Familiarity with open source configuration management and development tools
• Ability to dynamically adapt to conventional big-data frameworks and open source tools if project demands
• Deep knowledge of troubleshooting and tuning Streaming applications to achieve optimal performance
• Knowledge of design strategies for developing scalable, resilient, always-on data lake
• Strong development/automation skills
• Must be very comfortable with reading and writing Java/Python code
• An aptitude for analytical problem solving
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