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Staff Streaming Analytics Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Streaming Analytics Engineer (Kafka/Flink): Designing and optimizing high-performance real-time analytics systems for high-throughput data processing with an accent on stream processing frameworks, event correlation, and windowing functions. Focus on architecting continuous data flows, identifying complex patterns in live streams, and contributing to Apache open source projects.
Company
delivers technology solutions for large enterprises and innovative startups through a global team of more than 4,000 technology professionals.
What you will do
- Contribute to streaming analytics and related Apache open source projects.
- Design and optimize real-time analytics systems for high-throughput data processing.
- Architect stream processing frameworks for complex continuous data flows.
- Lead event correlation initiatives to identify sophisticated patterns in real-time data.
- Develop windowing functions for complex time-based data aggregations.
- Collaborate with engineering teams on technical solutions and system integration.
Requirements
- 10+ years of software development experience.
- Strong expertise in real-time analytics and streaming data processing systems.
- Deep understanding of advanced stream processing frameworks and event-driven architectures.
- Experience with complex event correlation, pattern recognition, and large-scale time-based data processing.
- Core contributions to Apache open source projects such as Kafka, Flink, Storm, or Spark.
- Advanced English proficiency.
Culture & Benefits
- Compensation available in USD or the candidate's local currency.
- Paid parental leave, vacation, and national holidays.
- Multicultural environment with opportunities to collaborate with highly skilled professionals.
- Mentorship, promotions, skill development, and career growth opportunities.
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