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Data Transfer and Processing Expert
1 month ago
Need local candidate
Job Description: We are on the lookout for a seasoned Real-Time Data Transfer and Processing Expert to enhance our capabilities in handling high-volume, high-velocity data streams.
Responsibilities:
- Develop and optimize real-time data transfer and processing systems.
- Implement robust data streaming pipelines using technologies like Apache Flink and Kafka.
- Integrate messaging technologies such as MQTT, Kafka, and others to facilitate efficient data flow.
- Utilize networking protocols including TCP, UDP, and QUIC to ensure reliable and fast data transmission.
- Design event-driven architectures that respond to data streams instantaneously.
- Ensure system scalability to handle growing data demands and maintain low latency.
- Design/Propose a system that can handle network outages.
- Collaborate with teams to embed machine learning models into streaming workflows.
- Implement and maintain strong security measures to safeguard data during transfers.
- Creation of key performance metrics, measuring the utilization, performance, and overall health
Requirements:
- Bachelor’s or master’s degree in computer science, Information Technology, or related field.
- 5+ years of industry experience with real-time data transfer and stream processing.
- Proficiency in messaging technologies like MQTT and experience with Kafka.
- Knowledge of Cellular and Wi-Fi technologies
- Solid understanding of networking protocols (TCP, UDP, QUIC) and their application in real-time systems.
- Demonstrated ability in building scalable and fault-tolerant data pipelines.
- Strong analytical skills and the ability to work with complex data sets.
- Excellent problem-solving abilities and a keen eye for detail.
Nice to Have:
- Experience with cloud computing platforms and services.
- Experience with ROS
- Knowledge of data compression and optimization techniques.
- Familiarity with edge computing and IoT data management.
Notes: Same project as for the last role. Want 5+ years, don’t want to be training.
- Project: Finished vehicle logistics Autonomy FVLA – in general – Parts come off the production line – drive to different areas – This is a work process that they want to automate
- Car come off the production line and drive themselves to wherever they need to go
- Plug a piece of equipment in to control, sensors along the way to tell them where the vehicle is, and software to tell the car where to drive
- Software development lifecycle
- Cloud computing platforms
- Data compression and optimization techniques
- All about moving data from edge devices to the cloud
- Real-time data transfer, handling high-volume, high-velocity data streams. – these are must-haves Networking, implementing robust data stream
- Moving data back and forth from edge devices to the cloud – Wi-Fi technology or other, networking protocols, resilient, reliable data pipelines
- Develop and optimize real-time data transfer and processing systems.
- Implement robust data streaming pipelines using technologies like Apache Flink and Kafka.
- Network protocols are important
Scalability – more or less data
- **Security is important – going over wireless networks – wireless technologies, cellular, and Wi-Fi ***
- Cars are moving around, sensors are situated in different positions, and data is being sent upstream – continue controlling driving the car.
- Real-time data transfer, handling high-volume, high-velocity data streams. – these are must-haves Networking, implementing robust data stream.
- Sensors observe cars, send data to the cloud, and back
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