Remote Apache Flink Engineer — Real-Time Data Streams

BairesDev

Colombia

Sur place

COP 381 667 000 - 477 084 000

Plein temps

14 jours+

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Avantages offerts par ce poste

100% remote
Flexible hours
Home office setup
Mentorship program
Competitive compensation

Résumé du poste

BairesDev, a leading technology firm, is seeking a Software Engineer (Apache Flink) to design and implement real-time stream processing pipelines. You will work with Java to build stateful computations, windowing, and scalable event-driven systems for global clients.

Join a 100% remote team delivering high-impact solutions and collaborating with top engineers. This role emphasizes performance tuning, reliability, and cutting-edge data processing techniques.

Qualifications

  • 4+ years of experience in Software Engineering, Data Engineering, or Stream Processing.
  • Proven expertise in developing real-time stream processing applications using Apache Flink.
  • Proficiency in Java and handling complex event processing, windowing, and stateful computations.
  • Strong understanding of event-driven architectures and distributed systems.
  • Advanced proficiency in English.

Responsabilités

  • Design and develop scalable, high-performance stream processing applications using Apache Flink and Java.
  • Implement complex event processing logic, including windowing, watermarks, and state management.
  • Optimize Flink jobs for low latency, high throughput, and efficient resource utilization.
  • Collaborate with engineering teams to integrate streaming solutions into broader event-driven architectures.
  • Ensure the reliability and accuracy of real-time data processing through rigorous testing and performance tuning.

Connaissances

Java
Apache Flink
Real-time streaming
Distributed systems
English (Advanced)

Outils

Java
Apache Flink

Description du poste

BairesDev, a leading technology firm, is seeking a Software Engineer (Apache Flink) to design and implement real-time stream processing pipelines. You will work with Java to build stateful computations, windowing, and scalable event-driven systems for global clients.

Join a 100% remote team delivering high-impact solutions and collaborating with top engineers. This role emphasizes performance tuning, reliability, and cutting-edge data processing techniques.

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