Streaming Analytics Engineer

TL;DR

Streaming Analytics Engineer: Developing and optimizing high-performance real-time streaming analytics systems using Apache Kafka, Flink, Storm, and related technologies with an accent on event correlation and windowing functions. Focus on building scalable stream processing frameworks, contributing to open source projects, and collaborating with engineering teams globally.

Location: Remote

Company

hirify.global is a leading technology services company with over 15 years of experience, delivering solutions to major clients like Google and innovative startups in Silicon Valley, employing the top 1% of global tech talent.

What you will do

• Contribute actively to streaming analytics and related open source projects.
• Develop and optimize real-time analytics systems for high-throughput data processing.
• Implement stream processing frameworks to handle continuous data flows.
• Build event correlation systems to identify patterns and relationships in real-time data.
• Design and implement windowing functions for time-based data aggregations.
• Collaborate with engineering teams on system integration and deployment.

Requirements

• 10+ years of software development experience.
• Strong expertise in real-time analytics and streaming data processing systems.
• Advanced English proficiency.
• Experience with stream processing frameworks and event-driven architectures.
• Core contributions to Apache open source projects (Kafka, Flink, Storm, Spark, or similar).

Culture & Benefits

• Excellent compensation in USD or local currency.
• Paid parental leave, vacation, and national holidays.
• Innovative and multicultural work environment.
• Collaboration with global top 1% tech talent.
• Supportive environment with mentorship, promotions, and skill development.