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Senior Data Engineer | Emerging Products
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US
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Apache Spark
Accountabilities:
- Architect, design, and improve real-time data streaming systems that process millions of events per second with extremely low latency.
- Lead the development and evolution of core data infrastructure supporting real-time decision-making and personalization capabilities.
Requirements:
- Proven expertise in distributed systems, stream processing, or event-driven architectures.
- Strong experience with technologies such as Kafka, Flink, Pulsar, or similar real-time data processing frameworks.
- Demonstrated ability to build and operate low-latency, high-throughput systems at significant scale.
Benefits:
- Fully remote work flexibility.
- Competitive compensation of up to $300,000 USD.
- Opportunity to build systems operating at global scale with significant technical complexity.
Undisclosed
The hiring company is a technology firm focused on building real-time data platforms and AI-driven systems. The company culture emphasizes innovation, autonomy, and high engineering standards, though specific employee count is not provided.