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Lead Developer- Flink

Irving, TX, United States

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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